Senior Machine Learning Engineer, AI Platform & Agentic Apps

As a Senior Machine Learning Engineer on Robinhood's AI Platform & Agentic Apps team, you will design and build the harness that every agent at Robinhood runs on. You'll work on a high-caliber team applying frontier technologies to build trustworthy agentic AI at real scale in a regulated financial environment. This role offers a rare combination of technical depth, platform-scale impact, and the satisfaction of building systems that genuinely don't exist anywhere else.

What you'll do

• Design and build the core of Robinhood's agent harness including orchestration, tool integrations, context and memory management, so one platform can safely power both high-trust internal agents and tightly scoped customer-facing ones.
• Ship agentic applications end to end on that harness, from an ambiguous problem to a production agent that takes real action on behalf of employees or customers, and feed what you learn back into the platform.
• Build trajectory-level evaluation systems that score how an agent got to an answer, not just the answer, including tool-call correctness, planning and recovery, and multi-step task completion, backed by simulation environments and synthetic task generation.
• Architect action guardrails as platform primitives: least-privilege tool scoping, permission models, human-approval gates for high-risk or irreversible actions, step and budget limits, sandboxing, and rollback.
• Make evals and guardrails products other teams adopt through SDKs, CI regression gates on prompt, model, and tool changes, continuous red-teaming, and production tracing that closes the loop from real traffic back into eval sets and guardrail models.
• Set the technical bar through architecture reviews, code reviews, and mentorship, and be the person who can make and defend with data the "don't ship" call.

What you bring

• 10+ years of experience as a Machine Learning Engineer or ML-focused software engineer, with strong Python and distributed-systems fundamentals and a track record of shipping LLM-powered systems to production at scale. A Master's degree in Computer Science or a related technical field, or equivalent professional experience.
• Hands-on experience building agentic systems end to end, including tool use, orchestration, context management, and multi-step planning on top of frontier models in production.
• Deep expertise evaluating agents: you've built trajectory-level evals, tool-call scoring, and simulation environments, and you can articulate why final-answer accuracy is insufficient for systems that act.
• Demonstrated expertise designing action-level guardrails including permission and tool-scoping models, approval gates, blast-radius controls, and sandboxing for agents operating in systems where mistakes have consequences.
• Rigor in evaluation methodology: golden datasets, rubric and LLM-as-judge grading and their failure modes, statistical significance with small N, offline-to-online metric correlation, and eval data versioning and contamination control.
• Proven ability to build platforms, not just models: you've shipped eval, safety, or agent tooling that other engineering teams adopted, and you have the judgment to know when to build versus buy.

What we offer

• Base pay of $255,000-$300,000 USD (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC); $225,000-$264,000 USD (Denver, CO; Westlake, TX; Chicago, IL); or $199,000-$234,000 USD (Lake Mary, FL; Clearwater, FL; Gainesville, FL), plus bonus opportunities and equity.
• 100% paid health insurance for employees with 90% coverage for dependents, employer-paid life and disability insurance, fertility benefits, and mental health benefits.
• Parental leave, paid time off, sick time, and company holidays.
• A lifestyle wallet, a highly flexible benefits spending account for wellness, learning, and more.
• Access to the Robinhood Employee Fund giving eligible US employees the opportunity to invest in a private employee fund providing exposure to Robinhood Ventures funds.
• Access to the best AI tools on the market and continuous AI skill-building for every employee.
• 401(k) matching.
• Exceptional office experience with catered meals, events, and comfortable workspaces.

This role is based in the Menlo Park, CA office, with in-person attendance expected at least 3 days per week.

About Robinhood

Robinhood's mission is to democratize finance for all. The company is building an elite team applying frontier technologies to the world's biggest financial problems, with ethics at the center of everything they do.