Senior Principal Applied Scientist

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of fellow creators and inventors. We act with the speed and attitude of a start‑up, with the scale and customer‑focus of the leading enterprise software company in the world. The Oracle Cloud Infrastructure (OCI) Generative AI science team is responsible for growing OCI’s Generative AI, Agent and Analytics services. Our goal is to build foundational technologies and enable customers to apply AI to solve their business problems with Oracle’s assistance and expertise in Generative AI and Analytics. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high quality Generative AI models, Analytics solutions and services that delight our customers with the confidence that their data is safe and protected. Career Level – IC5 We are seeking an exceptional applied scientist to work on innovative Generative AI & Analytics modeling research and development efforts. As a Senior Principal Applied Scientist in the Generative AI Science team, you will be architecting, building and deploying cutting‑edge, high‑quality AI models and solutions at scale. You will work with a team of world‑class scientists in exploring new frontiers of Generative AI and collaborate with cross‑functional teams including software engineers and product managers to deploy these globally for real‑world enterprise use‑cases at the largest scale. You will play a key role in shaping the future of Generative AI & Analytics at Oracle and across the industry. Your contributions will be pivotal in delivering our new Generative AI‑powered services for large‑scale enterprise customers. Qualifications 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. Medical, dental, and vision insurance, including expert medical opinion Short term disability and long term disability Life insurance and AD&D Supplemental life insurance (Employee/Spouse/Child) Health care and dependent care Flexible Spending Accounts Pre-tax commuter and parking benefits 401(k) Savings and Investment Plan with company match 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. 11 paid holidays 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. Paid parental leave Adoption assistance Employee Stock Purchase Plan Financial planning and group legal 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. Responsibilities Research and Development: Conduct in-depth research on Generative AI and Analytics, with a focus on Large Language Models (architecture, models, representation, evaluation, optimizations, planning, among others), and other emerging approaches. AI Analytics Development: Design, develop, and train state‑of‑the‑art LLM and Analytics models that meet the highest quality standards. Team Leadership: technical leadership and mentor junior scientists. Collaboration: Work closely with cross‑functional teams to integrate Generative AI and Analytics capabilities into various applications and products. Innovation: Identify new opportunities for Generative AI and Analytics and explore emerging technologies. Stay Updated: Maintain a deep understanding of industry trends and advancements in this space. Qualifications and Experience PhD, or Master's degree and 6+ years relevant experience in Computer Science (focused on LLM, Agent, Analytics) or related fields; Strong publication record, including as a lead author, in top‑tier journals or AI/LLM/Analytics conferences. Extensive experience in NLP, LLM, and Analytics. Proven track record of leading research and development projects. Strong understanding of AI/ML algorithms and architectures. Excellent problem‑solving and analytical skills. Strong leadership and communication abilities #J-18808-Ljbffr