Responsible AI: Principal Applied Scientist. We are seeking an exceptional Principal Applied Scientist with deep expertise in Responsible AI to join our fast-growing AI/ML research team. In this role, you will drive the development and evaluation of scalable safeguards for foundation models, with a focus on large language or multi-modal models (LLMs/ LMMs). Your work will directly influence how we design, deploy, and monitor trustworthy AI systems across a broad range of products.

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

What You’ll Do

• Conduct cutting-edge research and development in Responsible AI, including fairness, robustness, explainability, and safety for generative models
• Design and implement safeguards, red teaming pipelines, and bias mitigation strategies for LLMs and other foundation models
• Contribute to the fine-tuning and alignment of LLMs using techniques such as prompt engineering, instruction tuning, and RLHF/DPO
• Define and implement rigorous evaluation protocols (e.g., bias audits, toxicity analysis, robustness benchmarks)
• Collaborate cross-functionally with product, policy, legal, and engineering teams to ensure Responsible AI principles are embedded throughout the model lifecycle
• Publish in top-tier venues (e.g., NeurIPS, ICML, ICLR, ACL, CVPR) and represent the company in academic and industry forums

Minimum Qualifications

• Ph.D. in Computer Science, Machine Learning, NLP, or a related field, with publications in top-tier AI/ML conferences or journals
• Hands-on experience with LLMs including fine-tuning, evaluation, and prompt engineering
• Demonstrated expertise in building or evaluating Responsible AI systems (e.g., fairness, safety, interpretability)
• Proficiency in Python and ML/DL frameworks such as Py Torch or Tensor Flow
• Strong understanding of model evaluation techniques and metrics related to bias, robustness, and toxicity
• Creative problem-solving skills with a rapid prototyping mindset and a collaborative attitude

Preferred Qualifications (Nice to Have)

• Experience with RLHF (Reinforcement Learning from Human Feedback) or other alignment methods
• Open-source contributions in the AI/ML community
• Experience working with model guardrails, safety filters, or content moderation systems

Why Join Us

You’ll be working at the intersection of AI innovation and Responsible AI, helping shape the next generation of safe and trustworthy machine learning systems. If you’re passionate about ensuring AI benefits everyone—and you have the technical depth to back it up—we want to hear from you.