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Principal Applied Scientist

Oracle · United States · 1 wk ago
RemoteRemoteTraining$126k–$264k/yrFull-time

About the Role

At Oracle Cloud Infrastructure (OCI), we build the future of the cloud for Enterprises as a diverse team of 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 expertise in Generative AI, Database, and Analytics.

In this role, you will collaborate with teams of applied scientists and engineers to deliver high-quality Generative AI models, Data Agents, and Analytics solutions that delight customers while ensuring data safety and protection. As a Principal Applied Scientist, you will architect, build, and deploy cutting-edge AI models at scale, shaping the future of Generative AI and Data Analytics at Oracle and across the industry.

Responsibilities

  • Conduct in-depth research on Generative AI and Data Analytics, focusing on Large Language Models (architecture, models, representation, evaluation, optimizations, planning, and emerging approaches).
  • Design, develop, and train state-of-the-art LLM models and Agents that meet the highest quality standards.
  • Provide technical leadership and mentor junior scientists.
  • Collaborate with cross-functional teams to integrate Generative AI capabilities into applications and products.
  • Identify new opportunities for Generative AI and Data Analytics, exploring emerging technologies for unstructured and structured data.
  • Maintain a deep understanding of industry trends and advancements in Generative AI and related fields.

Requirements

  • PhD or Master’s degree with 2+ years of 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, VLM, Retrieval, Enrichment, and Analytics.
  • Proven track record of leading research and development projects.
  • Strong understanding of AI/ML algorithms and architectures.
  • Excellent problem-solving, analytical, leadership, and communication skills.

Pay

Hiring range in USD: $126,200 - $264,100 per year. May be eligible for bonus, equity, and compensation deferral.

Benefits

  • Medical, dental, and vision insurance, including expert medical opinion.
  • Short-term and long-term disability insurance.
  • 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 for salaried employees (13 days annually for the first three years, 18 days annually thereafter; accrual prorated for part-time employees working 20-34 hours per week).
  • 11 paid holidays.
  • Paid sick leave: 72 hours upon hire, refreshes annually, with a maximum carryover cap of 112 hours.
  • Paid parental leave.
  • Adoption assistance.
  • Employee Stock Purchase Plan.
  • Financial planning and group legal services.
  • Voluntary benefits including auto, homeowner, and pet insurance.

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