Senior Principal Applied Scientist

**Job Description** 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. **Responsibilities** **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. 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 [email protected] or by calling +1 888 404 2494 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.