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Oracle · 4 months ago

Senior Principal Applied Scientist - AI Platform Innovation

United States

Full-time

Remote

Senior Level, Lead/Staff

10+ years exp

Oracle is seeking a Senior Principal Applied Scientist to join their AI Innovation team, focusing on the development of next-generation AI infrastructure. The role involves conducting in-depth research and evaluation of machine learning models, collaborating with cross-functional teams, and prototyping innovative methods for training and inference.

Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware

No H1B

Security Clearance Required

Responsibilities

Research and Development: Conduct in-depth research on foundation model evaluation, including traditional NLP/CV metrics, LLMaaJ techniques, human evaluation, confidence estimation, agentive application evaluation, and RAG application evaluation. Produce production-ready code for handoff of POC applications to counterparts in Engineering

Collaboration: Work closely with cross-functional teams to integrate evaluation capabilities into various applications and products

Innovation: Identify new opportunities for evaluation and explore emerging technologies

Stay Updated: Maintain a deep understanding of industry trends and advancements in evaluation

Qualification

Machine Learning TechniquesGenerative AIPythonTensorFlowPyTorchAnalytical SkillsProblem-solvingLeadershipCommunication

Required

10+ years of experience

Deep understanding of machine learning techniques, including foundation model evaluation, traditional NLP/CV metrics, human evaluation, confidence estimation, agentive application evaluation, and RAG application evaluation

Experience in conducting in-depth research

Experience producing production-ready code

Experience collaborating with cross-functional teams to integrate evaluation capabilities into various products

Strong background in programming languages, such as Python

Experience with machine learning frameworks, such as TensorFlow or PyTorch

PhD in Computer Science, Mathematics, Statistics, Physics, Linguistics, or a related field (with a dissertation, thesis or final project centered in Machine Learning/Deep Learning/Generative AI/Computational Linguistics) and a minimum of 4 years work experience

Candidates without a PhD but with 5+ additional years' experience will be considered

Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences

Extensive experience in generative AI and model/application evaluation

Strong understanding of machine learning algorithms and architectures

Excellent problem-solving and analytical skills

Strong leadership and communication abilities