AI jobs in Oakland

People Strategy & Operations Lead at Fivetran driving HR transformation and AI adoption. Contract role focused on building scalable processes, leading cross-functional initiatives, and automating People operations using AI tools and HR technology.

Sr. Principal AI Systems Architect at Fivetran building the architecture for an AI analyst system. Owns metadata contracts, tool interfaces, context assembly, prompt orchestration, evaluation loops, and operational patterns for production agent systems.

Evaluation Engineer at Elicit building auto-evaluation systems for an AI research platform. Focus on infrastructure speed, interfaces for ML engineers and product managers, and statistical rigor for pharma decision-making assessments.

Senior Product Designer at Elicit, an AI research assistant for scientists. Role combines Figma design with code contributions (React, Tailwind), shipping end-to-end product features. Requires 3-5 years experience and daily use of AI coding tools.

Senior ML Product Manager at Elicit, an AI research assistant using language models for literature review and research tasks. Lead ML-based product projects end-to-end, define product vision, and drive user research to scale reasoning capabilities.

ML Research Resident at Elicit developing computational operators for a research agent that iteratively improves knowledge states over thousands of steps. Focus on designing transparent, epistemically sound reasoning procedures for scientific document analysis and reasoning tasks.

AI Engineer at Elicit building backend systems for an AI research assistant. Focus on prompt management, LLM orchestration, and distributed systems powering literature review and reasoning tasks.

Senior Software Engineer at Elicit, an AI research assistant using language models for literature review and reasoning tasks. Build and ship features across a full-stack Node/Python/Next.js system serving thousands of paying users.

Machine Learning Engineer at Elicit building AI-powered research and decision-making systems. Focus on combining language models with data integrations, evaluation systems, and product interfaces for scientific teams.