Staff Machine Learning Engineer

📋 Description

• Design and build the agent execution harness - the orchestration layer that routes inputs, manages
• Own the runtime's fault tolerance, latency, and throughput; design for enterprise workflows that
• Instrument the harness with tracing, cost attribution, and latency visibility so the team can
• Build prompt management systems - versioning, templating, and systematic evaluation - that keep
• Design and own evaluation frameworks (unit evals, integration evals, production monitors) that
• Integrate with and abstract over frontier LLMs, managing model routing, fallback strategies, cost

🎯 Requirements

• 7+ years building production software systems with a strong track record on reliability
• Hands-on experience shipping generative AI products - not just integrating LLM APIs or building
• Solid depth in how large language models work: failure modes, context constraints, and how prompt
• Python, Kubeflow, Experience with SageMaker, Vertex AI or AzureML, SQL
• Practical prompt engineering experience: systematically designing, versioning, and evaluating
• A real track record in eval engineering - not just familiarity, but a portfolio of evaluation

🎁 Benefits

• Base pay of $176,100 - $308,200, plus equity (when applicable), variable/incentive compensation and
• Health plans, including flexible spending accounts
• 401(k) Plan with company match
• ESPP
• Matching donations
• Flexible time away plan and family leave programs