Applied Scientist
6 days ago
About the Role
We are seeking a Principal Applied Scientist to join our Generative AI team at Oracle Cloud Infrastructure (OCI). As a key member of this team, you will be responsible for researching and developing cutting-edge Generative AI models and solutions that meet the highest quality standards.
Job Description
The Oracle Cloud Infrastructure (OCI) Generative AI team is responsible for growing OCI's Generative AI and Agent 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. In this role, you will have an opportunity to work with teams of applied scientists and engineers to deliver high-quality Generative AI models, solutions, and services that delight our customers with the confidence that their data is safe and protected.
Your Opportunity
We are looking for an exceptional applied scientist to work on innovative Generative AI & Agent modeling research and development efforts. As a Principal Applied Scientist in Generative AI and Agent Service 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 & Agents at Oracle and across the industry.
Responsibilities
- Research and Development: Conduct in-depth research on Generative AI, with a focus on Large Language Models (architecture, models, representation, evaluation, optimizations, planning, among others), and other emerging approaches.
- Model Development: Design, develop, and train state-of-the-art generative models that meet the highest quality standards.
- Team Leadership: TL and mentor junior scientists and engineers.
- Collaboration: Work closely with cross-functional teams to integrate Generative AI capabilities into various applications and products.
- Innovation: Identify new opportunities for Generative AI & Agent and explore emerging technologies.
- Stay Updated: Maintain a deep understanding of industry trends and advancements in this space.
Qualifications and Experience
We are looking for a highly qualified individual with a strong background in Computer Science (focused on Machine Learning, Deep Learning) or related fields. The ideal candidate should have a PhD or Master's degree and 6+ years of relevant experience. A strong publication record, including as a lead author, in top-tier journals or ML/NLP conferences, is also required. Additionally, the candidate should have extensive experience in natural language processing and deep learning, as well as proven track records of leading research and development projects.
Benefits
Oracle offers a comprehensive benefits package, which includes medical, dental, and vision insurance, short-term disability and long-term disability, life insurance and AD&D, supplemental life insurance, 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, 11 paid holidays, paid sick leave, paid parental leave, adoption assistance, employee stock purchase plan, financial planning and group legal, and voluntary benefits including auto, homeowner, and pet insurance.
About Us
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. We've partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
Salary Range
The estimated salary for this role is between $139,300 and $291,900 per annum, depending on location and qualifications. This range reflects Oracle's differing products, industries, and lines of business, as well as variations in knowledge, skills, experience, market conditions, and locations.
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