Scientist jobs at Oracle - 70 jobs

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

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

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $210,000/year to $281,000/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.

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 a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $177,000/year to $247,000/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.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **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.

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.

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.

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 seeking a visionary leader to spearhead post training model research and development efforts. As the post training science lead, you will be responsible for driving the development and implementation of cutting-edge methodologies around improving model performance based on human feedback. You will lead a team of world-class scientists in exploring new frontiers of code generation for the most popular languages simplifying documentation, unit testing, optimizing existing code, explaining code and simplifying way users interact with the database systems enabling natural language interface. **Responsibilities** + Research and Development: Conduct in-depth research on code generation techniques, including code to code (Java, SQL, Python, etc.), doc to code/code to doc, and other emerging approaches. + Model Development: Design, develop, and train state-of-the-art code generation models that meet the highest quality standards. + 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 image generation and explore emerging technologies. + Stay Updated: Maintain a deep understanding of industry trends and advancements in code generation. **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 8+ years relevant experience is preferred but not a must; OR Masters (with 12+ years) or Bachelor's (16+ years ) in related field with 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 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.

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 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

At Oracle Cloud Infrastructure (OCI), we are building the future of the cloud for enterprises, leveraging a diverse and innovative team of scientists and engineers. The OCI Speech Science team is dedicated to advancing AI-powered speech technologies, including state-of-the-art Automatic Speech Recognition (ASR), Text-To-Speech (TTS), Speech-To-Speech (S2S) translation, and conversational AI solutions. Our mission is to deliver robust, secure, and scalable speech and language services tailored to enterprise use cases worldwide. As part of the OCI Generative AI Science team, you will collaborate closely with applied scientists, engineers, and product managers to architect, develop, and deploy industry-leading speech solutions on OCI. You will play a pivotal role in shaping OCI's strategy for Speech AI by building and deploying enterprise-grade services that delight customers while ensuring their data remains secure and private. We are seeking an exceptional applied scientist to drive research and innovation in the areas of ASR, TTS, S2S translation, and conversational AI. As a Senior Principal Applied Scientist, you will contribute to the research, development, and deployment of advanced AI models, working at scale to support real-world applications across industries. **Responsibilities** **Responsibilities** + Research and Development: Lead cutting-edge research and development efforts in ASR, TTS, S2S translation, and conversational AI. Evaluate model architectures, data sources, and algorithms to advance speech technologies. + Model Development: Architect, train, and fine-tune large-scale deep learning models for speech recognition, synthesis, and translation components. Deliver state-of-the-art performance and reliability for enterprise customers. + Team Leadership: Mentor and guide a team of scientists and engineers, fostering an inclusive and innovative team environment that encourages creative solutions in speech and language processing. + Cross-Functional Collaboration: Work in partnership with software engineers, product managers, and UX teams to integrate ASR, TTS, S2S, and conversational AI capabilities into OCI's cloud-native products and services. + Customer-Centric Solutions: Understand enterprise requirements and deliver speech and conversation AI solutions that address diverse and complex use cases, ensuring the highest levels of quality and trust. + Technology Evangelism: Identify and champion new opportunities for voice and speech AI across Oracle's product portfolio. Advocate for the best practices in responsible AI and data security. + Continuous Learning: Stay ahead of industry trends, research breakthroughs, and advancements in AI/ML methodologies relevant to speech and conversational AI. **Qualifications & Experience** + PhD in Computer Science, Electrical Engineering, Mathematics, Linguistics, or a related field, with a dissertation, thesis, or final project centered on machine learning or deep learning and 10+ years of relevant experience. + Alternatively, a Master's degree in any of the above fields, with 12+ years of relevant experience. + Strong publication record, including as a lead author in top-tier conferences or journals. + Extensive experience in ASR, TTS, S2S translation, conversational AI, NLP, 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 speech applications and have a proven track record of success, we encourage you to apply. 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.

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

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.

At Oracle Cloud Infrastructure (OCI), we are building the future of the cloud for enterprises, leveraging a diverse and innovative team of scientists and engineers. The OCI Speech Science team is dedicated to advancing AI-powered speech technologies, including state-of-the-art Automatic Speech Recognition (ASR), Text-To-Speech (TTS), Speech-To-Speech (S2S) translation, and conversational AI solutions. Our mission is to deliver robust, secure, and scalable speech and language services tailored to enterprise use cases worldwide. As part of the OCI Generative AI Science team, you will collaborate closely with applied scientists, engineers, and product managers to architect, develop, and deploy industry-leading speech solutions on OCI. You will play a pivotal role in shaping OCI's strategy for Speech AI by building and deploying enterprise-grade services that delight customers while ensuring their data remains secure and private. We are seeking an exceptional applied scientist to drive research and innovation in the areas of ASR, TTS, S2S translation, and conversational AI. As a Senior Principal Applied Scientist, you will contribute to the research, development, and deployment of advanced AI models, working at scale to support real-world applications across industries. 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 Responsibilities Research and Development: Lead cutting-edge research and development efforts in ASR, TTS, S2S translation, and conversational AI. Evaluate model architectures, data sources, and algorithms to advance speech technologies. Model Development: Architect, train, and fine-tune large-scale deep learning models for speech recognition, synthesis, and translation components. Deliver state-of-the-art performance and reliability for enterprise customers. Team Leadership: Mentor and guide a team of scientists and engineers, fostering an inclusive and innovative team environment that encourages creative solutions in speech and language processing. Cross-Functional Collaboration: Work in partnership with software engineers, product managers, and UX teams to integrate ASR, TTS, S2S, and conversational AI capabilities into OCI's cloud-native products and services. Customer-Centric Solutions: Understand enterprise requirements and deliver speech and conversation AI solutions that address diverse and complex use cases, ensuring the highest levels of quality and trust. Technology Evangelism: Identify and champion new opportunities for voice and speech AI across Oracle's product portfolio. Advocate for the best practices in responsible AI and data security. Continuous Learning: Stay ahead of industry trends, research breakthroughs, and advancements in AI/ML methodologies relevant to speech and conversational AI. Qualifications & Experience PhD in Computer Science, Electrical Engineering, Mathematics, Linguistics, or a related field, with a dissertation, thesis, or final project centered on machine learning or deep learning and 10+ years of relevant experience. Alternatively, a Master's degree in any of the above fields, with 12+ years of relevant experience. Strong publication record, including as a lead author in top-tier conferences or journals. Extensive experience in ASR, TTS, S2S translation, conversational AI, NLP, 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 speech applications and have a proven track record of success, we encourage you to apply.

The Oracle Global Business Unit (GBU) Generative AI team is responsible for leading Generative AI and Agent needs of business applications serving variety of markets including Finance, Hospitality, Construction and Engineering, Energy & Water etc. Our goal is to enable customers to apply AI to solve their 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 and agent features that delights our customers with the confidence that their data are safe and protected. Your Opportunity We are seeking a Senior Principal Applied Scientist to spearhead Generative AI and Agent use cases that support GBU business applications as well as GBU consulting. As an applied scientist, you will be responsible for driving the development and implementation of cutting-edge technologies. We are building a core talented team specialized in Generative AI. We are looking for candidates who are passionate about building state-of-the-art technologies to solve real-world problems and have a solid technical background in deep learning, especially natural language processing (NLP) and multimodal models, to join this team. You will collaborate with a team of world-class scientists, engineers and product managers. We're looking for a person who will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both development and consulting teams. You'll be a Generative AI expert who is hands-on as well as be adept at evangelizing and influencing multiple stakeholders without direct authority on best practices and to get things done efficiently. Most importantly - we believe in a people-first approach. Our team consists of people from a wide variety of backgrounds, with different professional and life experiences, who support each other to build things the right way and enjoy ourselves while doing it. A successful candidate will bring a passion for innovative products, strong collaboration skills and the ability to work closely with both external customers and internal teams, as well as hands-on experience as a data scientist applying AI to solve business problems. What we offer Being part of one of the most visionary and mission-driven organizations in Oracle, cooperating with talented peers with diverse backgrounds worldwide. High visibility to senior leadership, as well as technical leaders and partners. Opportunity to build state-of-the-art technologies in large language models and generative AI at scale. Close partnership with product managers and software engineers to deploy Generative AI features into products in various business-critical scenarios. Building performance evaluations of Generative AI systems for continuous improvement of alignment with stakeholders' growing expectations. What You'll Do Develop, implement, and optimize large language models and generative AI technologies, including training/finetuning and computation optimizations. Collaborate with software engineers to deploy LLM / Generative AI models and Agents into production environments. Stay up-to-date with the latest advancements in the field of generative AI. Collaborate with cross-functional teams to drive the development and adoption of LLM and generative AI solutions across various organizations in the company. Work directly with key customers and accompany them on their AI journey - understanding their requirements, help them envision and design the right solutions and work together with their engineering and data science team to remove blockers and translate the feedback into actionable items for individual service owners. Design and build solutions and help GBU development teams reach successful pilots, PoCs and feature releases with our AI/Gen AI and DS technologies. Bring back learnings from these engagements to standardize Generative AI and Agent implementations for efficiency, scale and ease of maintenance. Support GBU consulting with re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. Being enthusiastic, self-motivated, and a great collaborator. Lead patent filings and author papers to show innovative enterprise grade developments. Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. 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 Qualifications: PhD, MS in computer science, engineering, mathematics or a field related to deep learning. Strong knowledge of ML fundamentals - supervised vs unsupervised modeling, time series, highly unbalanced and noisy data sets, complex feature engineering, recommendation systems, using and optimizing gradient boosting models, NLP, deep learning on all kinds of unstructured data. 5+ (for Senior), 7+ (for Principal), 10+ (for Sr Principal) years of work experience including a minimum of 2-year experience in developing large-scale ML solutions, and in particular deep learning solutions in the NLP field. Proficiency with deep learning frameworks (such as PyTorch or TensorFlow) and deep learning architectures (especially Transformers). Hands-on experience with distributed training of large language models. Strong development experience of deep learning modeling in Python. Familiarity with the latest advancements in LLM and generative AI technologies. Familiarity with engineering best practices, including shared codebase, version control, containerization, etc. Passionate about being a builder and working with talented peers to solve hard problems at scale. Good communication skills to convey technical concepts in straightforward terms with product managers and various stakeholders. Preferred Skills Publications in top-tier deep learning conferences or significant contributions to prominent deep learning repositories Industrial experience in system design, software development, and production deployment Excel in transforming ambiguous requirements into actionable plans with deep learning techniques for problem-solving. First-hand experience with deep reinforcement learning First-hand experience with the latest technologies in LLM and generative AI such as parameter-efficient finetuning and instruction finetuning is a plus Familiarity with the latest advancements in computer vision and multimodal modeling (such as CLIP, DALL-E2, and diffusion models) is a plus Top-tier performance in prestigious deep learning leaderboards or large model-related competitions is a plus.

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.