Senior Machine Learning Engineer

What you'll do

• Own and ship components such as agent runtime, tool execution, memory, sandboxed execution, or control plane.
• Build scalable systems for model customization, serving, and lifecycle management; explore agent approaches and take successful experiments into production.
• Operate owned systems end-to-end, including deployment, monitoring, observability, incident response, and incorporating customer insights.

What they ask for

• Ph.D. or M.S. in Computer Science or a related field.
• 5+ years building and deploying production ML systems serving real users at scale.
• Strong software engineering skills, including Python and/or Java, APIs and microservices, and production-system ownership.
• Hands-on experience with a deep learning framework and production LLMs; experience with AWS or Azure and data infrastructure.

Nice to have

• Production experience with agent/LLM infrastructure, platform-scale systems, or ML-Ops/Agent-Ops.
• Innovation through prototypes or experiments; publications/open-source contributions, mentoring, or roadmap leadership are a plus.

Pay

$151,800 - $265,350 annually USD (base salary); $183,300 - $265,350 USD (base salary) in California

Tools

Python, Java, PyTorch, TensorFlow, JAX, AWS, Azure, Postgres

AI focus

Build a production-grade autonomous AI agent platform, including orchestration, tool use, memory, model customization and serving, evaluation, and operations.