Senior Principal Scientist jobs at Oracle

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 Principal 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. 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. **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. 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 8+ years relevant experience is preferred but not a must; OR + Masters or Bachelor's in related field with 12+ 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: $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 - IC5 **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.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Research Scientist Responsibilities: 1. Perform research and develop solutions to computer software and computer hardware problems. 2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. 3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. 4. Utilize technical research background, train new ranking models, and run experiments. 5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. 6. Use machine learning, statistics, or other data techniques to build algorithms. 7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. 8. Analyze and resolve computer challenges from a system engineering standpoint. 9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 11. Telecommute from anywhere in the US permitted. **Minimum Qualifications:** Minimum Qualifications: 12. Requires a PhD degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field, OR completion of all coursework towards a PhD degree in Computer Science, Engineering, Information Systems, Mechanical Engineering, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 13. Requires completion of a university-level course, research project, internship, or thesis in the following: 14. 1. Algorithms, data structures, or systems software 15. 2. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources 16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision 17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines 18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU and 19. 6. Java, C++, Perl, PHP, or Python **Public Compensation:** $225,569/year to $240,240/year + bonus + equity + 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.

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Research Scientist Responsibilities: 1. Perform research and develop solutions to computer software and computer hardware problems. 2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms. 3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure. 4. Utilize technical research background, train new ranking models, and run experiments. 5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure. 6. Use machine learning, statistics, or other data techniques to build algorithms. 7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps. 8. Analyze and resolve computer challenges from a system engineering standpoint. 9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors. 10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. 11. Telecommuting is permitted from anywhere in the U.S. **Minimum Qualifications:** Minimum Qualifications: 12. Requires Doctorate Degree (or foreign equivalent) Computer Science, Engineering, Information Systems, Analytics, Statistics, Mathematics, Physics, Applied Sciences, or a related field 13. Requires completion of a graduate-level course, research project, or internship involving the following: 14. 1. Solving analytical problems using quantitative approaches 15. 2. Communicating complex research in a clear, precise, and actionable manner 16. 3. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision 17. 4. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines 18. 5. Adapting standard machine learning methods to best enterprise modern parallel environments: distributed clusters, multicore SMP, or GPU 19. 6. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models 20. 7. Java, C++, Perl, PHP, or Python **Public Compensation:** $213,512/year to $240,240/year + bonus + equity + 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.

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:** $177,000/year to $251,000/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.

We are the Monetization Ranking AI Research organization, dedicated to delivering personalized ads that maximize both user utility and advertiser value. We focus on advancing AI and ML technologies for all aspects of Monetization, including ranking, retrieval, model architecture, and optimization. By consistently integrating cutting-edge AI/ML advancements, we help Meta's products achieve long-term goals and have contributed tens of billions in revenue. With our growing impact, we're seeking AI Research Scientists to join our team and drive SOTA research across the Monetization organization. **Required Skills:** AI Research Scientist, CoreML - Monetization AI Responsibilities: 1. Develop and implement large-scale model architectures, leveraging model scaling and transfer learning techniques 2. Prioritize training scalability and signal scaling to optimize model performance, efficiency, and reliability 3. Develop and apply NextGen sequence learning techniques to drive advancements in natural language processing and understanding 4. Design and implement generative modeling solutions for data augmentation 5. Research and develop graph-aware large language models 6. Develop and deploy AutoML pipelines 7. Apply Reinforcement Learning (RL) techniques, including long-term value optimization, RLHF, and RL4Reason 8. Use causal learning to identify and understand the cause and effect of relationships across data 9. Collaborate with cross-functional teams to design and optimize ML systems, leveraging expertise in hardware-software co-design, including quantization, compression, and resource-efficient AI, to drive performance improvements and efficiency gains 10. Develop and implement innovative solutions for data-related challenges, utilizing knowledge of semi/self-supervised learning, generative techniques, sampling, debiasing, domain adaptation, continual learning, data augmentation, cold-start, content understanding, and large language models **Minimum Qualifications:** Minimum Qualifications: 11. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 12. Has obtained a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Machine Learning, or relevant technical field 13. Experience holding an industry, faculty, or government researcher position 14. Research experience in natural language processing, large language modeling, deep learning, reinforcement learning, recommendations, ranking, search, or related areas 15. Publications in machine learning, artificial intelligence, or related field 16. Programming experience in Python and hands-on experience with frameworks such as PyTorch 17. 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: 18. Experience taking ideas from research to production. 19. First author publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). 20. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward. **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + 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.

The Microsoft Word Applied Science team in Redmond, WA, US builds state-of-the-art, large-scale natural language understanding and generation models that power AI writing experiences for millions of users. Combining cutting-edge NLP with deep linguistic expertise, we have delivered innovative assistance in Word for more than 25 years, guided by a mission to help everyone become a better writer. Most recently, we launched Copilot capabilities that boost productivity and creativity across the entire writing workflow from ideation and drafting to refinement and final polish. As a **Senior Applied Scientist** in the team, you will drive intelligence experience projects through their entire life cycle from idea creation through rigorous science experiments, evaluations, and finally to worldwide availability. You will collaborate with other applied scientists, researchers, engineers, and product managers to deliver high-quality features and products that enhance the writing experience across multiple platforms and domains. You will also conduct cutting-edge applied research leading to high product impact and publish your work in top-tier conferences and journals. This opportunity will allow you to accelerate your career growth, develop deep business acumen, and hone your scientific skills. You will have the flexibility to work from home partially or fully, depending on your preference and location. We value work-life balance and support our team members to achieve their personal and professional goals. Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. **Responsibilities** + You will review business and product requirements and incorporate state-of-the-art research to formulate plans that will meet business goals. + You will research and develop an understanding of tools, technologies, and methods being used in the community that can be utilized to improve product quality, performance, or efficiency. + You will stay updated with the latest research and trends in Natural Language Processing and related fields and explore new ideas and opportunities for innovation. + You will participate in onboarding of new team members. You'll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline. + You will document work in progress and experimentation results and share findings to promote innovation. You'll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection. **Qualifications** **Required Qualifications:** + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research) + OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) + OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) + OR equivalent experience. **Other Requirements:** Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: + **Microsoft Cloud Background Check:** This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter. **Preferred Qualifications:** + Masters degree in Computational Linguistics or Computer Science with a focus on Natural Language Processing. + 3+ years experience conducting research as part of a research program (in academic or industry settings). + 3+ years experience developing and deploying live production systems, as part of a product team + 3+ years of software engineering experience in Python or C#. + 2+ years of research or product experience in Natural Language Processing. + 2+ years experience publishing peer-reviewed papers and presenting at conferences. + 2+ years of hands-on experience in Deep Learning using PyTorch or similar. Applied Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $158,400 - $258,000 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: **************************************************** This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (**************************************************************

As part of the OCI Multimodal AI Science Team, we are seeking a visionary leader to spearhead image generation model research and development efforts. As the video generation model scientist lead, you will be responsible for driving the development and implementation of cutting-edge video generation and manipulation technologies. You will lead a team of world-class scientists in exploring new frontiers of video synthesis, style transfer, and video editing. Research: Conducting in-depth research on image and video generation techniques, including generative adversarial networks (GANs), diffusion models, and other emerging approaches. Model Development: Designing, developing, and training state-of-the-art generation models that meet the highest quality standards. Team Leadership: Building and mentoring a high-performing team of scientists and engineers to execute on ambitious technical goals. Collaboration: Partnering with cross-functional teams to integrate advanced generation capabilities into applications and products. Innovation: Identifying new opportunities for generation technology and exploring emerging trends in the space. Industry Awareness: Staying current with advancements in both image and video generation, ensuring our approaches remain cutting-edge. 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

The Oracle Cloud Infrastructure (OCI) Generative AI team is responsible for growing OCI's Generative AI and Agent services. Our goal is to enable customers to apply AI to solve their particular business problems with Oracle's assistance and expertise in Generative AI. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality generative AI models and services that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a visionary scientist to spearhead applied science initiatives in our Agentic AI efforts. You will be responsible for driving the development and implementation of cutting-edge technologies. You will work with a team of world-class scientists in exploring new frontiers of Agentic AI to optimize their Long Term Memory use, Multi Agent interaction, Safety, Evaluation, etc to enable real world Enterprise solutions. 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 and Development: Conduct in-depth research on code Agent Platform primitives such as Long Term Memory management, planning and reasoning and self-eveolving approaches. Team Leadership: Build and mentor a high-performing team of scientists and engineers. Collaboration: Work closely with cross-functional teams to integrate code generation capabilities into various applications and products. Innovation: Identify new opportunities for Agentic AI emerging technologies. Stay Updated: Maintain a deep understanding of industry trends and advancements in Agentic AInew. Qualifications and Experience: 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 5+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 8+ years relevant experience Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Extensive experience in image generation, computer vision, and deep learning Proven track record of leading research and development projects Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong leadership and communication abilities If you are passionate about pushing the boundaries of image generation and have a proven track record of success, we encourage you to apply.

As a Senior Principal Applied Scientist on OCI's AI Innovation team, you'll shaping Oracle's next generation AI infrastructure. You will bring foresight into concrete requirements for training and serving models at massive scale. Your evidence-backed insights will guide where we invest across the stack so OCI's AI Infra offerings are ready for what is coming in the future. This role requires a deep understanding of machine learning techniques, including foundation model evaluation, traditional NLP/CV metrics, human evaluation, confidence estimation, agentive application evaluation, and RAG application evaluation. The successful candidate will have experience in conducting in-depth research, producing production-ready code, and collaborating with cross-functional teams to integrate evaluation capabilities into various products. A strong background in programming languages, such as Python, and experience with machine learning frameworks, such as TensorFlow or PyTorch, is also required. In this role, you will lead deep research and rigorous evaluation of LLMs and related systems, designing benchmarks that capture quality, latency, cost, and reliability in real production settings. Expect to prototype new training and inference methods and run large-scale experiments that reveal scaling behavior and bottlenecks. A PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field, with a dissertation or thesis centered on machine learning techniques, is preferred, although a Master's or Bachelor's degree with relevant experience will also be considered. Responsibilities • Research and Development: Conduct in-depth research on foundation model evaluation, including traditional NLP/CV metrics, LLMaaJ techniques, human evaluation, confidence estimation, agentive application evaluation, and RAG application evaluation. Produce production-ready code for handoff of POC applications to counterparts in Engineering. • Collaboration: Work closely with cross-functional teams to integrate evaluation capabilities into various applications and products. • Innovation: Identify new opportunities for evaluation and explore emerging technologies. • Stay Updated: Maintain a deep understanding of industry trends and advancements in evaluation. Qualifications and Experience: • PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field (with a dissertation, thesis or final project centered in Machine Learning/Deep Learning/Generative AI/Computational Linguistics) and a minimum of 4 years work experience. Candidates without a PhD but with 5+ additional years' experience will be considered. • Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. • Extensive experience in generative AI and model/application evaluation. • Strong understanding of machine learning algorithms and architectures • Excellent problem-solving and analytical skills • Strong leadership and communication abilities 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

Oracle Health Data Intelligence (HDI) is at the forefront of transforming healthcare through data and AI. To accelerate growth for our top global customers via the development and deployment of AI agents on our AIDP platform, we are seeking a Senior Principal Applied Scientist (IC5). In this strategic role, you will lead complex engagements with nations, states, providers, payers, and life sciences partners to design and deliver high-impact data applications on Oracle's AI Health Data Platform. You will serve as a bridge between customers and product engineering, ensuring that innovation and feedback loops are tightly aligned to business and regulatory realities. Your leadership will directly support Oracle Health's mission to improve outcomes and reduce costs through human-centric, data-driven healthcare transformation. This is a high-visibility, high-impact individual contributor role for someone who thrives at the intersection of AI innovation, healthcare strategy, and large-scale solution delivery. 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 Key Responsibilities 1. Strategic Technical Leadership Serve as the senior technical authority on designing and delivering AI/ML-powered health data applications, with a focus on AI agents, generative AI, and LLM architectures for large, regulated healthcare systems. Architect end-to-end solutions that leverage Oracle's AIDP platform to solve population health, research, and clinical interoperability challenges at global scale. Influence product roadmaps by representing real-world customer requirements, regulatory constraints, and innovation opportunities to senior product and engineering leadership. 2. Advanced GenAI & LLM Innovation Lead the development, fine-tuning, and deployment of domain-specific LLMs and AI agents for healthcare use cases, including clinical summarization, interoperability, documentation automation, and predictive insights. Apply cutting-edge techniques such as RLHF, multi-modal data fusion, and knowledge grounding to improve accuracy, safety, and real-time performance. Set technical direction for GenAI initiatives across HDI, mentoring teams and shaping best practices for scalable, production-grade healthcare AI. 3. Complex Solution Architecture & Delivery Lead high-stakes solution engagements for top global customers, translating ambiguous clinical and operational needs into scalable, compliant architectures. Oversee the design of data ingestion and RAG pipelines, ensuring interoperability with EHR standards (e.g., FHIR, HL7) and adherence to security frameworks (e.g., HIPAA, HITRUST). Partner with field engineering, implementation, and customer success teams to ensure frictionless deployment, integration, and adoption. 4. Stakeholder Engagement & Thought Leadership Act as a trusted advisor to C-level executives, public sector leaders, and healthcare strategists on how AI agents can drive system-wide transformation. Represent Oracle at industry forums and regulatory discussions, helping shape the future of responsible healthcare AI. Publish technical insights, speak at conferences, and mentor Principal-level engineers and scientists to grow organizational capability. 5. Operational Excellence & Performance Optimization Establish rigorous evaluation, monitoring, and optimization frameworks for AI solutions to ensure real-time, high-accuracy performance in clinical environments. Drive innovation cycles by continuously feeding field learnings back into model architectures and platform capabilities. Qualifications Education: Master's degree in Computer Science, Machine Learning, AI, or related field required; Ph.D. strongly preferred. Experience: 10+ years of experience in AI/ML solution development, with 5+ years in senior or principal technical roles. Proven track record leading large-scale, production AI deployments in healthcare or other regulated industries. Demonstrated experience influencing cross-functional roadmaps and driving strategic outcomes with global customers. Technical Skills: Deep expertise in GenAI, LLMs, and AI agent frameworks (e.g., GPT architectures, retrieval-augmented generation, orchestration frameworks). Advanced proficiency in Python and libraries such as Hugging Face Transformers, TensorFlow, or PyTorch. Strong understanding of multi-modal data integration, clinical interoperability standards (FHIR, HL7), and regulatory frameworks. Experience with distributed systems and cloud platforms (OCI, AWS, Azure, or GCP). Leadership & Communication: Exceptional ability to engage with senior business and technical stakeholders, drive adoption of complex AI solutions, and influence organizational direction. Proven ability to operate effectively in ambiguous, high-impact environments, balancing innovation with compliance. Why Oracle Health Data Intelligence At HDI, you'll help build the next generation of intelligent healthcare systems-where AI agents, LLMs, and data platforms work together to improve patient outcomes, reduce systemic waste, and enable global health innovation. Join us to shape the future of healthcare.

The computer vision team is responsible for growing our capabilities in image analysis and recognition. Our goal is to enable customers to apply computer vision to solve their particular business problems with our assistance and expertise. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality computer vision models and services that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a visionary scientist to spearhead computer vision initiatives and lead the technical direction of the team. You will be responsible for driving the development and implementation of cutting-edge computer vision technologies, and working with a team of world-class scientists to explore new frontiers of computer vision to enable real-world solutions. 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 Team Leadership: Lead and mentor a high-performing team of scientists. Collaboration: Work closely with cross-functional teams to integrate computer vision capabilities into various applications and products. Innovation: Identify new opportunities for computer vision emerging technologies. Technical Leadership: Provide technical direction and guidance to the team, and drive the development of the computer vision roadmap. Qualifications and Experience: PhD Computer Science, Electrical Engineering, or a related field with a dissertation, thesis or final project centered in Computer Vision and Machine Learning) with 8+ years relevant experience is preferred but not a must; OR Masters or Bachelor's in related field with 10+ years relevant experience Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. Extensive experience in computer vision, deep learning, and image processing Proven track record of leading research and development projects Strong understanding of machine learning algorithms and architectures Excellent problem-solving and analytical skills Strong leadership and communication abilities If you are passionate about pushing the boundaries of computer vision and have a proven track record of success, we encourage you to apply.

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 Principal 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. 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. 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. **Responsibilities** **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. 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: $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 Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. May perform other duties as assigned.

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** Drives and plans implementation of company policy for achieving business goals. Defines the bar for science practices, and helps teams achieve those goals. Identifies and mitigates risks across full set of systems, particularly at the intersection of business and engineering. Innovate AI and ML powered solutions (rich APIs, ML models and end to end services) with strategic ISVs and customers. Develop deep product intuition to influence future product roadmaps and drive decision making. Clearly articulate technical work to audiences of all levels and across multiple functional areas in both internal and external settings. Engage in forward looking research both internal and with academic institutions globally. Hires and mentors across the org. Perform an active role in team planning, review and retrospective events. Ensures experiments are ready for hand-off to Software Developers ship into production. 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: $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 **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. **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.

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 that materially reduce risk. **Responsibilities** **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. 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.

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. **Responsibilities** **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. 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 **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.