Senior Scientist jobs at Microsoft - 67 jobs

As our Senior Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. **Responsibilities** **Responsibilities** + Collaborate with product managers to translate business and product requirements into AI projects. + Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. + Coordinate with multinational teams to drive projects from research POC to production. + Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. + Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. + Lead and mentor both junior and senior applied scientists. + Develop production code and advocate for the best coding and engineering practices. + Participate in project planning, review, and retrospective sessions. + Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. **Qualifications and Experience** + Demonstrated experience in designing and implementing scalable AI models for production. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. + Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Demonstrated experience leading and mentoring early-career scientists. **Preferred Qualifications** + Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. **Education** + PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 1+ years relevant experience is preferred but not a must; OR + Masters or Bachelor's in related field with 3+ years relevant experience Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

As our Senior Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 Responsibilities Collaborate with product managers to translate business and product requirements into AI projects. Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. Coordinate with multinational teams to drive projects from research POC to production. Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. Lead and mentor both junior and senior applied scientists. Develop production code and advocate for the best coding and engineering practices. Participate in project planning, review, and retrospective sessions. Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. Qualifications and Experience Demonstrated experience in designing and implementing scalable AI models for production. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Demonstrated experience leading and mentoring early-career scientists. Preferred Qualifications Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. Education PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 1+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 3+ years relevant experience

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. As our Senior Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. Responsibilities Collaborate with product managers to translate business and product requirements into AI projects. Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. Coordinate with multinational teams to drive projects from research POC to production. Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. Lead and mentor both junior and senior applied scientists. Develop production code and advocate for the best coding and engineering practices. Participate in project planning, review, and retrospective sessions. Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. Qualifications and Experience Demonstrated experience in designing and implementing scalable AI models for production. Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Experienced leading senior scientists and early-career scientists. Preferred Qualifications Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. Education PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 5+ years relevant experience Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference! Career Level - IC3 #LI-JS14 Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned.

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization.We are seeking a Senior Applied Scientist (with a PhD preferably) to perform innovation in AI agents for enterprise analytics-focusing on planning, multi-step reasoning, and tool-augmented execution with large language models over unstructured data (documents, logs, emails, multimodal artifacts). You will design agent architectures, memory and planning systems, retrieval and grounding pipelines, and evaluation frameworks that deliver reliable, auditable, and cost-efficient enterprise outcomes. You will partner closely with research engineers and product teams to ship agentic systems to production, rigorously evaluate reasoning quality and safety, and drive measurable customer and business impact. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 Responsibilities: • Perform end-to-end agentic system development: define agent goals and decomposition strategies; design planners, controllers, and executors; implement tool-use orchestration (APIs, SQL, vector search, code execution) and robust recovery/rollback. • Advance planning and reasoning: hierarchical/task planning, self-reflection and critique, debate/tree-search methods, constraint satisfaction, and chain-of-thought/toolformer-style approaches to improve correctness, faithfulness, and robustness. • Ground LLMs on unstructured data: build retrieval and indexing over documents, semi-structured data • Ensure safety, privacy, and compliance: content safety policies, least-privilege tool access, execution sandboxes, prompt/memory redaction, PII handling, and governance appropriate for regulated enterprise settings; implement interpretable action logs. • Productionize agentic solutions: collaborate with platform teams to ship planning/orchestration services and evaluation harnesses; implement observability, telemetry, canarying, rollback, and lifecycle management for agent workflows. • Stay current with research and translate advances into production differentiators; mentor teammates and contribute to a culture of scientific rigor and impact. Minimum qualifications • PhD in Computer Science, Machine Learning, Statistics, Electrical Engineering, or related field with a focus relevant to LLMs, planning/reasoning, NLP, or autonomous/interactive systems. • Experience (industry or applied research) building and deploying ML/LLM systems, including agentic workflows, retrieval/grounding, and evaluation at scale. • Demonstrated expertise in agentic methods: multi-step planning, tool-use orchestration, reflection/critique, and structured reasoning (e.g., CoT, programmatic planning). • Strong background in retrieval over unstructured data, RAG architectures, document preprocessing, indexing, and provenance tracking for accuracy, safety, and robustness. • Proficient in Python and modern ML stacks: PyTorch/JAX, Transformers, vector databases/IR libraries, orchestration frameworks; solid software engineering practices and experimentation discipline. • Track record of publications in top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) or equivalent demonstrated impact in production systems. Preferred qualifications • Experience designing data/feedback pipelines for agent evaluation: step-level labeling, trace audits, and active learning for hard cases; familiarity with bias/variance trade-offs. • Knowledge of search/planning and decision-making: tree search, bandits for tool/model selection, off-policy evaluation for policy changes, and statistical testing for online experiments. • Familiarity with LLM efficiency and serving: PEFT/LoRA/QLoRA, quantization, KV cache management, batching, speculative decoding, routing across models/skills, and throughput/latency trade-offs. • Experience integrating safety/guardrails and policy enforcement: sandboxed tool execution, OAuth/secret management, rate-limiting, jailbreak/prompt-injection defenses, and privacy-preserving telemetry aligned with enterprise compliance. • Comfortable collaborating across research, engineering, product, and legal/compliance; excellent communication skills to explain methods and results to technical and non-technical stakeholders. • Practical experience with experiment tracking, model registries, CI/CD for ML, and production observability for agent traces and actions. Career Level - IC3

Oracle Healthcare Data Intelligence (HDI) is at the forefront of leveraging data and AI to transform the healthcare and life sciences industries. Our team is dedicated to solving complex challenges in healthcare by developing innovative solutions using Generative AI, natural language processing (NLP), and large language models (LLMs). This role is perfect for a hands-on applied scientist who's passionate about building and optimizing models in the healthcare space. You'll help design and implement new AI tools that can enhance care delivery, support providers, and make health systems smarter. As a Senior Applied Scientist, you'll work closely with other scientists, engineers, and product teams to build and evaluate AI models for real healthcare and biological problems. You will collaborate with a multidisciplinary team to design, build, and deploy scalable models and systems that enhance clinical decision-making, optimize operational workflows, and deliver meaningful insights from complex healthcare data. Career Level - IC3 Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 What You'll Do Modeling and Development: Fine-tune and evaluate large language models (LLMs), small language models, and retrieval-augmented generation (RAG) pipelines. Contribute to the design and development of AI solutions for use cases like summarizing clinical documents, surfacing patient insights, and supporting care decisions. Use tools like LangChain or other modular AI frameworks to experiment with agentic behaviors in workflows. Evaluation and Optimization: Help build model evaluation frameworks focused on healthcare-specific performance, semantic accuracy, and safety. Analyze model performance and iterate based on feedback and evaluation results. Collaboration and Integration: Work with product, engineering, and design teams to bring your models into Oracle's healthcare and life sciences platforms. Support integration of models into secure and compliant healthcare environments. Innovation and Learning: Stay up to date with recent developments in generative AI and NLP, especially in healthcare and life sciences. Propose and prototype new ideas that could lead to better healthcare tools and experiences. What You'll Bring Education: PhD in Computer Science, NLP, Machine Learning, or a related field; OR Master's degree with 4+ years of relevant experience in applied AI/ML. Experience: Experience training or fine-tuning LLMs or small language models. Experience in developing and evaluating LLM Agents for real-world problems Familiarity with retrieval-augmented generation (RAG), LangChain, or similar tools. Hands-on experience applying AI/ML in healthcare and/or bioinformatics is a plus. Skills: Strong understanding of machine learning, NLP, and deep learning techniques. Comfortable working with Python, TensorFlow/PyTorch, and open-source LLM tools. Familiarity with bioinformatics resources and tools Good communication skills and ability to collaborate across technical teams.

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization.We are seeking a Senior Applied Scientist to perform innovation in learning from human feedback (LFHF) and user preference modeling, with a strong focus on in-context learning and post training for large language models. You will design data and feedback strategies, build preference/reward models, and develop post training pipelines (e.g., SFT, DPO, RLHF/RLAIF) that deliver safe, high-quality, and cost-efficient enterprise AI experiences. You will partner closely with research engineers and product teams to ship aligned models to production, instrument rigorous evaluation, and drive measurable customer and business impact. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 What you will do• Perform end to end LFHF programs: define annotation rubrics, sampling strategies, and quality controls; design rater guidelines and human in the loop workflows in collaboration with product/UX and data engineering. • Build preference and reward models: pairwise and listwise modeling, win rate optimization, uncertainty estimation, and active learning to improve sample efficiency and data quality. • Develop post training pipelines: supervised fine tuning (SFT), direct preference optimization (DPO/IPO/ORPO), RLHF/RLAIF, and distillation-balancing quality, safety, latency, and cost for enterprise workloads. • Advance in-context learning: retrieval augmented prompting, dynamic few shot selection, tool use/orchestration aware prompting, instruction following, and mitigation of ICL brittleness and context overflow. • Optimize inference and efficiency: PEFT/LoRA/QLoRA, quantization, speculative decoding, caching, and distillation for scalable deployment on Oracle infrastructure. • Evaluate rigorously: establish offline/online metrics, pairwise and rubric based human evals, red teaming, safety/guardrail tests, A/B experiments, and win rate tracking; perform offline policy evaluation where applicable. • Ensure safety, privacy, and compliance: apply content safety policies, guardrail configuration, PII handling/redaction, differential logging, and model governance appropriate for regulated enterprise settings. • Productionize solutions: collaborate with platform teams to ship models and evaluation services; implement observability, telemetry, canarying, rollback, and lifecycle management.• Stay current with research and translate advances into production differentiators; mentor teammates and contribute to a culture of scientific rigor and impact.Minimum qualifications• MS, PhD (preferred) in Computer Science, Machine Learning, Statistics, Electrical Engineering, or related field with a focus relevant to LFHF, reinforcement learning, NLP, or human AI interaction. • Experience (industry or applied research) building and deploying ML systems, including LLM post training and evaluation. • Demonstrated expertise in learning from human or AI feedback: data/rubric design, preference/reward modeling, and optimization methods (e.g., SFT, DPO, RLHF/RLAIF). • Strong background in in context learning, prompt/program design, retrieval augmented generation, and model alignment for accuracy, safety, and robustness. • Proficient in Python and modern ML stacks: PyTorch/JAX, Transformers, and libraries for post training and evaluation; solid software engineering practices and experimentation discipline. • Track record publications in top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL).Preferred qualifications • Experience designing at scale data pipelines for feedback collection, active learning, and rater operations; familiarity with label quality auditing and bias/variance trade offs.• Knowledge of bandits/off policy evaluation, causal inference for policy changes, and statistical testing for online experiments. • Familiarity with LLM efficiency and serving: tensor/graph optimization, KV cache management, batching strategies, and throughput/latency trade offs. • Experience integrating safety/guardrails, policy enforcement, and privacy preserving telemetry into production workflows aligned with enterprise compliance. • Comfortable collaborating across research, engineering, product, and legal/compliance; excellent communication skills to explain methods and results to technical and non-technical stakeholders. • Practical experience with experiment tracking, model registries, and CI/CD for ML Career Level - IC3

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization.We are seeking a Senior Applied Scientist (with a PhD preferably) to perform innovation in AI agent evaluation and user experience (UX), and to advance machine learning for structured data at enterprise scale. You will define evaluation frameworks for multi-step, tool-using agents; design user-centric studies and telemetry; and build robust metrics that connect agent behavior to measurable user and business outcomes. You will also develop and productionize ML methods for structured/tabular data-including forecasting, anomaly detection, and causal insights-that power analytic workflows and agent decision-making. You will partner closely with research engineers, product/UX, and platform teams to ship reliable, safe, and delightful agent experiences into production. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 Responsibilities: • Perform end-to-end agent evaluation programs: establish task taxonomies, gold standards, and reproducible scenarios for tool-using and planning agents across BI, SQL, and data preparation workflows; design rubric-based and pairwise evaluations to measure correctness, grounding, and traceability.• Stay current with research and translate advances into production differentiators; mentor teammates and contribute to a culture of scientific rigor and impact. Minimum qualifications • PhD in Computer Science, Machine Learning, Human-Computer Interaction, Statistics, Electrical Engineering, or related field with focus relevant to AI agents, evaluation/UX, or structured data ML. • Experience (industry or applied research) building and evaluating ML systems, including agentic workflows, UX research for AI products, and structured/tabular ML in production. • Demonstrated expertise in human/AI evaluation: rubric and study design, telemetry and instrumentation, A/B testing, and statistical analysis; ability to connect evaluation metrics to product outcomes. • Strong background in structured data ML: feature engineering, time series forecasting, anomaly detection, causal inference, and robustness for enterprise datasets; proficiency with SQL and data warehousing concepts. • Proficient in Python and modern ML stacks (e.g., PyTorch/JAX) and libraries for evaluation and experimentation; solid software engineering practices, experiment tracking, and reproducibility discipline. • Track record of publications in top venues (e.g., NeurIPS, ICML, NAACL, ICLR, ACL, CHI) or equivalent evidence of impact. Preferred qualifications • Experience building scalable evaluation platforms for tool-using agents • Expertise in UX research methods for AI • Knowledge of planning and tool-use policies • Familiarity with efficiency and serving: batching, KV cache management, quantization/PEFT for cost/latency trade-offs; observability and alerting for agent behavior drifts. • Experience integrating safety/guardrails, policy enforcement, and privacy-preserving telemetry into production workflows aligned with enterprise compliance. • Comfortable collaborating across research, engineering, product, and legal/compliance; excellent communication skills to explain methods and results to technical and non-technical stakeholders. Career Level - IC3

At Oracle Cloud Infrastructure (OCI), we are building the future of the cloud for enterprises, leveraging a diverse and innovative team of scientists and engineers. The OCI Speech Science team is dedicated to advancing AI-powered speech technologies, including state-of-the-art Automatic Speech Recognition (ASR), Text-To-Speech (TTS), Speech-To-Speech (S2S) translation, and conversational AI solutions. Our mission is to deliver robust, secure, and scalable speech and language services tailored to enterprise use cases worldwide. As a Senior Applied Scientist of the OCI Generative AI Science team, you will work with experienced scientists and engineers to research, develop, and improve speech and conversational AI models. This role provides an excellent opportunity to deepen your expertise in speech and AI technologies, learn best practices, and contribute to the delivery of production-grade AI services serving Oracle's global customers. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 Responsibilities Independently design, implement, and evaluate deep learning models and algorithms for speech recognition, synthesis, translation, and conversational AI applications. Take ownership of specific project components from early research and data exploration through experimental analysis, prototyping, and delivery of production-ready solutions. Collaborate proactively with other applied scientists, engineers, and product managers to contribute new technical ideas and approaches to core OCI Speech Science projects. Conduct thorough error analysis, troubleshooting, and iteration to continuously improve model performance and robustness. Author technical documentation, experimental reports, and present findings at team or cross-team forums. Stay up-to-date with recent advancements in AI/ML and speech/language technologies, and identify opportunities to apply them in OCI products. Adhere to best practices in responsible AI, model validation, and data security. Qualifications & Experience PhD in Computer Science, Electrical Engineering, Mathematics, Linguistics, or a related field, with dissertation or projects focused on machine learning, speech processing, NLP, or AI. Alternatively, a Master's degree with significant research or project experience in the above areas. Up to 5 years of relevant post-graduate, academic, or industry experience. Demonstrated ability to independently advance research or applied projects from start to finish, including formulating problems, conducting experiments, and interpreting results. Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch. Hands-on experience in one or more areas: ASR, TTS, S2S translation, conversational AI, or related NLP topics. Proven analytical and problem-solving abilities in AI/ML or speech/language processing domains. Excellent written and verbal communication skills, especially in technical documentation and presentations. Collaborate, reliable, and motivated to take initiative in a fast-paced team environment. If you're a passionate scientist ready to own impactful projects and grow quickly while building next-generation speech AI technology, we encourage you to apply.

Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action. **Required Skills:** Research Scientist - CTRL Labs Responsibilities: 1. Research and develop Deep Learning or other computational models 2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets 3. Set technical direction for a project of 2-3 researchers and engineers 4. Help transition and deliver our work from research into product 5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU) **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics 8. Experience with developing machine learning models at scale from inception to business impact 9. Programming experience in Python and hands-on experience with frameworks such as PyTorch 10. Exposure to architectural patterns of large scale software applications 11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment **Preferred Qualifications:** Preferred Qualifications: 12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP) 13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 14. Experience bringing machine learning-based products from research to production **Public Compensation:** $184,000/year to $257,000/year + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Oracle Health Data Intelligence (HDI) is leading the charge in transforming healthcare with innovative data and AI solutions. We're seeking a highly skilled individual contributor to join our team in the USA. This role focuses on leveraging advanced machine learning techniques, including generative AI, large language models (LLMs), and AI agents, to address complex healthcare challenges. At HDI, we aim to revolutionize patient care, optimize healthcare delivery, and drive operational excellence through data and technology. Career Level - IC3 **Responsibilities** **Responsibilities** 1. **Technical Leadership** : - Serve as a key technical expert in designing, developing, and deploying AI/ML solutions with a focus on GenAI and LLM applications for healthcare. - Architect and implement AI agents that automate complex workflows, such as generating real-time clinical summaries and assisting in patient care management. - Integrate LLM capabilities with healthcare datasets, ensuring robust performance, scalability, and adherence to compliance standards. 2. **Generative AI & LLM Innovation** : - Develop and fine-tune LLMs for healthcare-specific use cases, such as automated documentation, question answering, and predictive analytics. - Apply generative AI to synthesize insights from multi-modal healthcare data (e.g., EHRs, imaging, claims, and demographics) to enhance patient care and operational efficiency. - Explore and implement reinforcement learning and human feedback (RLHF) approaches to improve model performance in real-world healthcare settings. 3. **Solution Development** : - Design intelligent AI agents to automate tasks, such as chart reviews, care plan generation, and clinical quality analytics. - Oversee the creation of scalable pipelines for integrating healthcare data into GenAI models while maintaining data privacy and security (e.g., HIPAA, HITRUST compliance). 4. **Strategic Collaboration** : - Work with cross-functional teams, including healthcare providers and engineers, to align GenAI and LLM initiatives with business objectives and healthcare requirements. - Serve as a bridge between technical teams and business stakeholders to drive adoption of AI solutions in clinical and operational workflows. 5. **Performance Optimization** : - Lead efforts to optimize LLM performance for real-time, high accuracy use cases in healthcare environments. - Implement monitoring frameworks to ensure AI/ML solutions meet quality benchmarks and provide actionable insights efficiently. 6. **Thought Leadership** : - Stay at the cutting edge of GenAI, LLM, and AI agent advancements, contributing to Oracle's leadership in intelligent healthcare innovation. - Publish findings, present at industry conferences, and mentor junior team members on best practices for generative AI and LLM development. **Qualifications** - **Education** : Master's degree in computer science, Machine Learning, Artificial Intelligence, or a related field. Ph.D. preferred. - **Experience** : - 8+ years of hands-on experience in AI/ML, with a strong focus on GenAI, LLMs, or AI agent development. - Proven track record of deploying and scaling AI/ML solutions in production, especially in healthcare or regulated industries. - **Technical Skills** : - Expertise in GenAI and LLM frameworks, including OpenAI GPT, BERT, or similar transformer architectures. - Proficiency in fine-tuning LLMs for specific domains and integrating them with enterprise-grade applications. - Experience with cloud platforms (e.g., OCI, AWS, Azure, or GCP) and distributed computing. - Strong programming skills in Python and familiarity with libraries such as Hugging Face Transformers, TensorFlow, or PyTorch. - Knowledge of multi-modal data integration (text, imaging, structured data) and analytics. - **Domain Knowledge** : - Deep understanding of healthcare systems, EHR standards (e.g., FHIR, HL7), and value-based care metrics. - Familiarity with regulatory requirements (e.g., HIPAA, HITRUST) and compliance frameworks. - **Leadership & Communication Skills** : - Ability to engage with technical and non-technical stakeholders to drive AI adoption and ensure business alignment. - Strong problem-solving skills and ability to deliver results in ambiguous, high-impact environments. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Building off our Cloud momentum, Oracle has formed a new organization - Oracle Health & AI. This team will focus on product development and product strategy for Oracle Health, while building out a complete platform supporting modernized, automated healthcare. This is a net new line of business, constructed with an entrepreneurial spirit that promotes an energetic and creative environment. We are unencumbered and will need your contribution to make it a world class engineering center with the focus on excellence. As our Senior Applied Scientist, you will play a key role in shaping the future of AI at Oracle, with an emphasis on Large Language Models (LLMs) and Generative AI. Your contributions will be pivotal in delivering our new Generative AI-powered solutions for healthcare and enterprise customers. **Responsibilities** + Collaborate with product managers to translate business and product requirements into AI projects. + Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services. + Coordinate with multinational teams to drive projects from research POC to production. + Develop new healthcare and enterprise services and features leveraging recent advances in generative AI, machine learning and deep learning. + Design and review the architecture of AI solutions, including data, model, training, and evaluation, employing best practices. + Lead and mentor both junior and senior applied scientists. + Develop production code and advocate for the best coding and engineering practices. + Participate in project planning, review, and retrospective sessions. + Identify and mitigate risks in our plans and executions, especially at the intersection of business and engineering. **Qualifications and Experience** + Demonstrated experience in designing and implementing scalable AI models for production. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Proven experience in designing data collection/annotation solutions and systematic evaluation necessary for developing and maintaining production systems. + Commitment to staying up-to-date with the field and applying academic advances to solve complex business problems, and bringing them into production. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Experienced leading senior scientists and early-career scientists. **Preferred Qualifications** + Knowledge of healthcare and experience delivering healthcare AI models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. **Education** + PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR + Masters or Bachelor's in related field with 5+ years relevant experience Oracle is committed to incorporating generative AI into our applications and workflows for business users. This role presents a unique opportunity to work on pioneering AI technologies and contribute to Oracle's Generative AI strategy. At Oracle, we value diversity and encourage continuous learning for career growth. Come join our team to make a significant difference! Career Level - IC3 \#LI-JS14 **Responsibilities** Identify data science use cases and design scalable solutions that can be built as a feature of the product/service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline/online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business/customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry/domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization.We are seeking a Senior Applied Scientist (with a PhD preferably) to perform innovation in AI agents for enterprise analytics-focusing on planning, multi-step reasoning, and tool-augmented execution with large language models over unstructured data (documents, logs, emails, multimodal artifacts). You will design agent architectures, memory and planning systems, retrieval and grounding pipelines, and evaluation frameworks that deliver reliable, auditable, and cost-efficient enterprise outcomes. You will partner closely with research engineers and product teams to ship agentic systems to production, rigorously evaluate reasoning quality and safety, and drive measurable customer and business impact. **Responsibilities** Responsibilities: - Perform end-to-end agentic system development: define agent goals and decomposition strategies; design planners, controllers, and executors; implement tool-use orchestration (APIs, SQL, vector search, code execution) and robust recovery/rollback. - Advance planning and reasoning: hierarchical/task planning, self-reflection and critique, debate/tree-search methods, constraint satisfaction, and chain-of-thought/toolformer-style approaches to improve correctness, faithfulness, and robustness. - Ground LLMs on unstructured data: build retrieval and indexing over documents, semi-structured data - Ensure safety, privacy, and compliance: content safety policies, least-privilege tool access, execution sandboxes, prompt/memory redaction, PII handling, and governance appropriate for regulated enterprise settings; implement interpretable action logs. - Productionize agentic solutions: collaborate with platform teams to ship planning/orchestration services and evaluation harnesses; implement observability, telemetry, canarying, rollback, and lifecycle management for agent workflows. - Stay current with research and translate advances into production differentiators; mentor teammates and contribute to a culture of scientific rigor and impact. Minimum qualifications - PhD in Computer Science, Machine Learning, Statistics, Electrical Engineering, or related field with a focus relevant to LLMs, planning/reasoning, NLP, or autonomous/interactive systems. - Experience (industry or applied research) building and deploying ML/LLM systems, including agentic workflows, retrieval/grounding, and evaluation at scale. - Demonstrated expertise in agentic methods: multi-step planning, tool-use orchestration, reflection/critique, and structured reasoning (e.g., CoT, programmatic planning). - Strong background in retrieval over unstructured data, RAG architectures, document preprocessing, indexing, and provenance tracking for accuracy, safety, and robustness. - Proficient in Python and modern ML stacks: PyTorch/JAX, Transformers, vector databases/IR libraries, orchestration frameworks; solid software engineering practices and experimentation discipline. - Track record of publications in top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL) or equivalent demonstrated impact in production systems. Preferred qualifications - Experience designing data/feedback pipelines for agent evaluation: step-level labeling, trace audits, and active learning for hard cases; familiarity with bias/variance trade-offs. - Knowledge of search/planning and decision-making: tree search, bandits for tool/model selection, off-policy evaluation for policy changes, and statistical testing for online experiments. - Familiarity with LLM efficiency and serving: PEFT/LoRA/QLoRA, quantization, KV cache management, batching, speculative decoding, routing across models/skills, and throughput/latency trade-offs. - Experience integrating safety/guardrails and policy enforcement: sandboxed tool execution, OAuth/secret management, rate-limiting, jailbreak/prompt-injection defenses, and privacy-preserving telemetry aligned with enterprise compliance. - Comfortable collaborating across research, engineering, product, and legal/compliance; excellent communication skills to explain methods and results to technical and non-technical stakeholders. - Practical experience with experiment tracking, model registries, CI/CD for ML, and production observability for agent traces and actions. Career Level - IC3 Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Oracle Healthcare Data Intelligence (HDI) is at the forefront of leveraging data and AI to transform the healthcare and life sciences industries. Our team is dedicated to solving complex challenges in healthcare by developing innovative solutions using Generative AI, natural language processing (NLP), and large language models (LLMs). This role is perfect for a hands-on applied scientist who's passionate about building and optimizing models in the healthcare space. You'll help design and implement new AI tools that can enhance care delivery, support providers, and make health systems smarter. **Your Role** As a **Senior Applied Scientist** , you'll work closely with other scientists, engineers, and product teams to build and evaluate AI models for real healthcare and biological problems. You will collaborate with a multidisciplinary team to design, build, and deploy scalable models and systems that enhance clinical decision-making, optimize operational workflows, and deliver meaningful insights from complex healthcare data. Career Level - IC3 **Responsibilities** **What You'll Do** **Modeling and Development:** + Fine-tune and evaluate large language models (LLMs), small language models, and retrieval-augmented generation (RAG) pipelines. + Contribute to the design and development of AI solutions for use cases like summarizing clinical documents, surfacing patient insights, and supporting care decisions. + Use tools like LangChain or other modular AI frameworks to experiment with agentic behaviors in workflows. **Evaluation and Optimization:** + Help build model evaluation frameworks focused on healthcare-specific performance, semantic accuracy, and safety. + Analyze model performance and iterate based on feedback and evaluation results. **Collaboration and Integration:** + Work with product, engineering, and design teams to bring your models into Oracle's healthcare and life sciences platforms. + Support integration of models into secure and compliant healthcare environments. **Innovation and Learning:** + Stay up to date with recent developments in generative AI and NLP, especially in healthcare and life sciences. + Propose and prototype new ideas that could lead to better healthcare tools and experiences. **What You'll Bring** **Education:** + PhD in Computer Science, NLP, Machine Learning, or a related field; OR + Master's degree with 4+ years of relevant experience in applied AI/ML. **Experience:** + Experience training or fine-tuning LLMs or small language models. + Experience in developing and evaluating LLM Agents for real-world problems + Familiarity with retrieval-augmented generation (RAG), LangChain, or similar tools. + Hands-on experience applying AI/ML in healthcare and/or bioinformatics is a plus. **Skills:** + Strong understanding of machine learning, NLP, and deep learning techniques. + Comfortable working with Python, TensorFlow/PyTorch, and open-source LLM tools. + Familiarity with bioinformatics resources and tools + Good communication skills and ability to collaborate across technical teams. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At Oracle Analytics, we are building the next generation of enterprise AI products to enable intelligent data analysis at scale. Leveraging our foundational strengths in data management and enterprise software applications, we are advancing our platforms and applications by deeply embedding cutting-edge agentic AI, generative AI, and innovations in machine learning and optimization.We are seeking a Senior Applied Scientist to perform innovation in learning from human feedback (LFHF) and user preference modeling, with a strong focus on in-context learning and post training for large language models. You will design data and feedback strategies, build preference/reward models, and develop post training pipelines (e.g., SFT, DPO, RLHF/RLAIF) that deliver safe, high-quality, and cost-efficient enterprise AI experiences. You will partner closely with research engineers and product teams to ship aligned models to production, instrument rigorous evaluation, and drive measurable customer and business impact. **Responsibilities** What you will do- Perform end to end LFHF programs: define annotation rubrics, sampling strategies, and quality controls; design rater guidelines and human in the loop workflows in collaboration with product/UX and data engineering. - Build preference and reward models: pairwise and listwise modeling, win rate optimization, uncertainty estimation, and active learning to improve sample efficiency and data quality. - Develop post training pipelines: supervised fine tuning (SFT), direct preference optimization (DPO/IPO/ORPO), RLHF/RLAIF, and distillation-balancing quality, safety, latency, and cost for enterprise workloads. - Advance in-context learning: retrieval augmented prompting, dynamic few shot selection, tool use/orchestration aware prompting, instruction following, and mitigation of ICL brittleness and context overflow. - Optimize inference and efficiency: PEFT/LoRA/QLoRA, quantization, speculative decoding, caching, and distillation for scalable deployment on Oracle infrastructure. - Evaluate rigorously: establish offline/online metrics, pairwise and rubric based human evals, red teaming, safety/guardrail tests, A/B experiments, and win rate tracking; perform offline policy evaluation where applicable. - Ensure safety, privacy, and compliance: apply content safety policies, guardrail configuration, PII handling/redaction, differential logging, and model governance appropriate for regulated enterprise settings. - Productionize solutions: collaborate with platform teams to ship models and evaluation services; implement observability, telemetry, canarying, rollback, and lifecycle management.- Stay current with research and translate advances into production differentiators; mentor teammates and contribute to a culture of scientific rigor and impact.Minimum qualifications- MS, PhD (preferred) in Computer Science, Machine Learning, Statistics, Electrical Engineering, or related field with a focus relevant to LFHF, reinforcement learning, NLP, or human AI interaction. - Experience (industry or applied research) building and deploying ML systems, including LLM post training and evaluation. - Demonstrated expertise in learning from human or AI feedback: data/rubric design, preference/reward modeling, and optimization methods (e.g., SFT, DPO, RLHF/RLAIF). - Strong background in in context learning, prompt/program design, retrieval augmented generation, and model alignment for accuracy, safety, and robustness. - Proficient in Python and modern ML stacks: PyTorch/JAX, Transformers, and libraries for post training and evaluation; solid software engineering practices and experimentation discipline. - Track record publications in top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL).Preferred qualifications - Experience designing at scale data pipelines for feedback collection, active learning, and rater operations; familiarity with label quality auditing and bias/variance trade offs.- Knowledge of bandits/off policy evaluation, causal inference for policy changes, and statistical testing for online experiments. - Familiarity with LLM efficiency and serving: tensor/graph optimization, KV cache management, batching strategies, and throughput/latency trade offs. - Experience integrating safety/guardrails, policy enforcement, and privacy preserving telemetry into production workflows aligned with enterprise compliance. - Comfortable collaborating across research, engineering, product, and legal/compliance; excellent communication skills to explain methods and results to technical and non-technical stakeholders. - Practical experience with experiment tracking, model registries, and CI/CD for ML Career Level - IC3 Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Oracle Healthcare Data Intelligence (HDI) is at the forefront of leveraging data and AI to transform the healthcare and life sciences industries. Our team is dedicated to solving complex challenges in healthcare by developing innovative solutions using Generative AI, natural language processing (NLP), and large language models (LLMs). This role is perfect for a hands-on applied scientist who's passionate about building and optimizing models in the healthcare space. You'll help design and implement new AI tools that can enhance care delivery, support providers, and make health systems smarter. As a **Senior Applied Scientist** , you'll work closely with other scientists, engineers, and product teams to build and evaluate AI models for real healthcare and biological problems. You will collaborate with a multidisciplinary team to design, build, and deploy scalable models and systems that enhance clinical decision-making, optimize operational workflows, and deliver meaningful insights from complex healthcare data. Career Level - IC3 **Responsibilities** **What You'll Do** **Modeling and Development:** + Fine-tune and evaluate large language models (LLMs), small language models, and retrieval-augmented generation (RAG) pipelines. + Contribute to the design and development of AI solutions for use cases like summarizing clinical documents, surfacing patient insights, and supporting care decisions. + Use tools like LangChain or other modular AI frameworks to experiment with agentic behaviors in workflows. **Evaluation and Optimization:** + Help build model evaluation frameworks focused on healthcare-specific performance, semantic accuracy, and safety. + Analyze model performance and iterate based on feedback and evaluation results. **Collaboration and Integration:** + Work with product, engineering, and design teams to bring your models into Oracle's healthcare and life sciences platforms. + Support integration of models into secure and compliant healthcare environments. **Innovation and Learning:** + Stay up to date with recent developments in generative AI and NLP, especially in healthcare and life sciences. + Propose and prototype new ideas that could lead to better healthcare tools and experiences. **What You'll Bring** **Education:** + PhD in Computer Science, NLP, Machine Learning, or a related field; OR + Master's degree with 4+ years of relevant experience in applied AI/ML. **Experience:** + Experience training or fine-tuning LLMs or small language models. + Experience in developing and evaluating LLM Agents for real-world problems + Familiarity with retrieval-augmented generation (RAG), LangChain, or similar tools. + Hands-on experience applying AI/ML in healthcare and/or bioinformatics is a plus. **Skills:** + Strong understanding of machine learning, NLP, and deep learning techniques. + Comfortable working with Python, TensorFlow/PyTorch, and open-source LLM tools. + Familiarity with bioinformatics resources and tools + Good communication skills and ability to collaborate across technical teams. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned.

We are looking for a Senior Applied Scientist to join our Security Engineering organization and help define the future of security operations for Oracle's SaaS ecosystem. This role offers a rare and high-impact opportunity to shape how next-generation detection, response, and threat defense will work across one of the largest enterprise cloud environments in the world. As a Senior IC, you will architect and develop advanced ML and behavioral models that enable a new class of adaptive, intelligence-informed security capabilities. You will work directly with massive, noisy, and adversarial telemetry; build models that must operate at extreme scale; and pioneer approaches that transform how our analysts, detections, and automated systems understand attacker behavior. In this role you will: Invent new ways to detect and disrupt attackers Build machine learning foundations for an AI-driven SOC Influence the architecture of detection pipelines for years to come Operationalize research at petabyte scale Raise the scientific bar across the security organization You will work closely with Detection Engineering, Red Team, Threat Intelligence, and Data Engineering to identify meaningful signal, reduce noise, validate hypotheses, and translate research into production systems that materially reduce risk. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $97,500 to $199,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC3 Research & Modeling Develop novel ML models for anomaly detection, identity analytics, time-series/sequence analysis, graph modeling, and pattern mining across noisy, high-volume telemetry. Design experiments, baselines, evaluation metrics, and scientific methodologies for threat detection problems. Build prototypes, run experiments, analyze results, and iterate quickly. Data & System Understanding Work with massive, sparse, high-cardinality datasets (1.2PB/day+) to extract signal from noise. Create data-efficient modeling approaches (self-supervision, embedding models, sampling strategies, feature extraction). Design inference strategies that work under tight cost, performance, and real-time constraints. Cross-Functional Technical Work Collaborate with Detection Engineering, Data Engineering, Red Team, and Threat Intelligence to define problem statements, understand attack patterns, and interpret telemetry. Provide scientific insights and deep technical guidance to engineering partners building pipelines and detections. Translate research prototypes into production-ready designs with engineering teams. Scientific Rigor Establish strong modeling baselines, validation methodologies, ablation studies, and well-defined success criteria. Document findings, methodologies, and recommended approaches clearly and reproducibly. Maintain awareness of current academic and industry research; apply relevant advances appropriately. Required Qualifications Technical Expertise Deep knowledge of ML approaches relevant to security: anomaly detection statistical modeling representation learning / embeddings sequence models (RNNs, Transformers) graph-based analysis clustering and outlier detection Strong understanding of: adversarial ML challenges noisy/weak/no-label environments data imbalance and cost-sensitive modeling model explainability and operational constraints Hands-On Skills Expert programming in Python, SQL; comfortable with Spark, Beam, Flink, or similar distributed data systems. Ability to rapidly prototype models and experiment with large datasets using PyTorch, TensorFlow, JAX, or similar. Experience building models that run in production, including monitoring, drift detection, and model evaluation. Experience PhD or Master's in Computer Science, Machine Learning, Applied Mathematics, or equivalent experience. 6-10+ years of industry or research experience applying ML to real-world problems. Experience with security telemetry, cloud logs, SIEM/EDR/XDR analytics, identity data, fraud detection, or similar adversarial domains strongly preferred. Demonstrated impact through deployed models, patents, publications, or widely adopted research outputs.

We are looking for a Principal Applied Scientist to join our Security Engineering organization and help define the future of security operations for Oracle's SaaS ecosystem. This role offers a rare and high-impact opportunity to shape how next-generation detection, response, and threat defense will work across one of the largest enterprise cloud environments in the world. As a Principal IC, you will architect and develop advanced ML and behavioral models that enable a new class of adaptive, intelligence-informed security capabilities. You will work directly with massive, noisy, and adversarial telemetry; build models that must operate at extreme scale; and pioneer approaches that transform how our analysts, detections, and automated systems understand attacker behavior. In this role you will: Invent new ways to detect and disrupt attackers Build machine learning foundations for an AI-driven SOC Influence the architecture of detection pipelines for years to come Operationalize research at petabyte scale Raise the scientific bar across the security organization You will work closely with Detection Engineering, Red Team, Threat Intelligence, and Data Engineering to identify meaningful signal, reduce noise, validate hypotheses, and translate research into production systems. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. Range and benefit information provided in this posting are specific to the stated locations only US: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC5 Research & Modeling Develop novel ML models for anomaly detection, identity analytics, time-series/sequence analysis, graph modeling, and pattern mining across noisy, high-volume telemetry. Design experiments, baselines, evaluation metrics, and scientific methodologies for threat detection problems. Build prototypes, run experiments, analyze results, and iterate quickly. Data & System Understanding Work with massive, sparse, high-cardinality datasets (1.2PB/day+) to extract signal from noise. Create data-efficient modeling approaches (self-supervision, embedding models, sampling strategies, feature extraction). Design inference strategies that work under tight cost, performance, and real-time constraints. Cross-Functional Technical Work Collaborate with Detection Engineering, Data Engineering, Red Team, and Threat Intelligence to define problem statements, understand attack patterns, and interpret telemetry. Provide scientific insights and deep technical guidance to engineering partners building pipelines and detections. Translate research prototypes into production-ready designs with engineering teams. Scientific Rigor Establish strong modeling baselines, validation methodologies, ablation studies, and well-defined success criteria. Document findings, methodologies, and recommended approaches clearly and reproducibly. Maintain awareness of current academic and industry research; apply relevant advances appropriately. Required Qualifications Technical Expertise Deep knowledge of ML approaches relevant to security: anomaly detection statistical modeling representation learning / embeddings sequence models (RNNs, Transformers) graph-based analysis clustering and outlier detection Strong understanding of: adversarial ML challenges noisy/weak/no-label environments data imbalance and cost-sensitive modeling model explainability and operational constraints Hands-On Skills Expert programming in Python, SQL; comfortable with Spark, Beam, Flink, or similar distributed data systems. Ability to rapidly prototype models and experiment with large datasets using PyTorch, TensorFlow, JAX, or similar. Experience building models that run in production, including monitoring, drift detection, and model evaluation. Experience PhD or Master's in Computer Science, Machine Learning, Applied Mathematics, or equivalent experience. 10+ years of industry or research experience applying ML to real-world problems. Experience with security telemetry, cloud logs, SIEM/EDR/XDR analytics, identity data, fraud detection, or similar adversarial domains strongly preferred. Demonstrated impact through deployed models, patents, publications, or widely adopted research outputs.

Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems. Build prototypes and explore conceptually new solutions. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations. Applies data science capabilities and research findings to create and implement solutions to scale. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers. Develops models, prototypes, and experiments that pave the way for innovative products and services. Build cloud services that work out of the box for enterprises, e.g. decision support, anomaly detection, forecasting and recommendations), natural language processing (NLP), Natural Language Understanding (NLU),Time Series, Automatic Speech Recognition (ASR), Machine Learning (ML), and Computer Vision (CV). Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Conversant on ethical problems in consideration of sciences. **Responsibilities** Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer/partner. Directly impact our customers via innovation in products and services that make use of ML/AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explainability in mind. May perform other duties as assigned. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $120,100 to $251,600 per annum. May be eligible for bonus, equity, and compensation deferral. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.