Robinhood
Staff Machine Learning Engineer, AI Platform & Agentic Apps
$199K–$300K
Menlo Park, CA · Staff · Full-time · Posted Sep 19, 2026
- Experience
- 10+ years; no alternative stated.
- Education
- Master's degree in Computer Science or a related technical field, or equivalent professional experience.
About the job
Build Robinhood’s agent platform and production agentic applications, emphasizing trajectory-level evaluation and action guardrails for agents operating in a regulated financial environment.
What you'll do
- Design and build the agent harness, including orchestration, tool integrations, context, and memory management.
- Develop agent applications, trajectory evaluation systems, and simulation environments for production use.
- Create platform guardrails and evaluation tools, and set technical direction through reviews and mentorship.
What they ask for
- 10+ years as a Machine Learning Engineer or ML-focused software engineer; strong Python and distributed-systems fundamentals; experience shipping LLM-powered systems to production at scale.
- Production experience building agentic systems end to end, including tool use, orchestration, context management, and multi-step planning.
- Expertise in trajectory-level evaluation, agent action guardrails, and rigorous evaluation methodology.
- Experience building platforms or tooling adopted by other engineering teams.
Pay
$255,000 — $300,000 USD (base salary); $225,000 — $264,000 USD (base salary); $199,000 — $234,000 USD (base salary)
Tools
Python, LLM
AI focus
Build agent harnesses and agentic applications; evaluate agent trajectories and actions; implement permissions, approvals, sandboxing, and other guardrails to support safe deployment.
Model-written summary · the original posting is authoritative