Senior Machine Learning Engineer, AI Platform & Agentic Apps

Robinhood • Menlo Park, CA

4d • Hybrid

About The Position

Robinhood is building an elite team to apply frontier technologies to the world's biggest financial problems, aiming to democratize finance for all. The AI Platform & Agentic Apps team is responsible for the agent platform that powers all AI agents at Robinhood. This platform currently provides AI teammates for engineers and employees to ship code, query data, and run operational workflows. The team is evolving this platform to support agents that millions of customers will interact with directly, enabling them to take real actions across curated meta harnesses. This role involves working at agentic AI scale within a regulated financial environment, with the goal of transforming how Robinhood operates. The Senior Machine Learning Engineer will be a technical anchor, designing and building the agent harness, focusing on making agents trustworthy at scale through trajectory-level evaluations and action guardrails. This role offers significant technical depth, platform-scale impact, and the opportunity to build novel systems. The position is based in Menlo Park, CA, with a requirement for at least 3 days of in-person attendance per week.

Requirements

• 10+ years of experience as a Machine Learning Engineer or ML-focused software engineer.
• Strong Python and distributed-systems fundamentals.
• Track record of shipping LLM-powered systems to production at scale.
• Master's degree in Computer Science or a related technical field, or equivalent professional experience.
• Hands-on experience building agentic systems end-to-end (tool use, orchestration, context management, multi-step planning) on top of frontier models in production.
• Deep expertise evaluating agents, including building trajectory-level evals, tool-call scoring, and simulation environments.
• Demonstrated expertise designing action-level guardrails (permission and tool-scoping models, approval gates, blast-radius controls, sandboxing) for agents in high-consequence systems.
• Rigor in evaluation methodology, including golden datasets, LLM-as-judge grading, statistical significance with small N, offline-to-online metric correlation, and eval data versioning/contamination control.
• Proven ability to build platforms, not just models, with experience shipping eval, safety, or agent tooling adopted by other engineering teams.

Responsibilities

• Design and build the core of Robinhood's agent harness, including orchestration, tool integrations, context, and memory management, to support both internal and customer-facing agents.
• Ship agentic applications end-to-end on the harness, from problem definition to production deployment, and feed learnings back into platform development.
• Build trajectory-level evaluation systems to assess agent reasoning and actions, including tool-call correctness, planning, and multi-step task completion, using simulation environments and synthetic data.
• Architect action guardrails as platform primitives, such as least-privilege tool scoping, permission models, human-approval gates, step and budget limits, sandboxing, and rollback.
• Develop evals and guardrails into products for other teams, including SDKs, CI regression gates, continuous red-teaming, and production tracing.
• Set the technical bar through architecture and code reviews, and provide mentorship to other engineers.
• Make and defend critical decisions regarding agent readiness for production, including the "don't ship" call, supported by data.

Benefits

• Performance driven compensation with multipliers for outsized impact
• Bonus programs
• Equity ownership
• 401(k) matching
• 100% paid health insurance for employees
• 90% coverage for dependents' health insurance
• Access to the Robinhood Employee Fund for investment exposure
• Access to the best AI tools on the market
• Continuous AI skill-building for every employee
• Lifestyle wallet for wellness, learning, and more
• Employer-paid life & disability insurance
• Fertility benefits
• Mental health benefits
• Company holidays
• Paid time off
• Sick time
• Parental leave
• Exceptional office experience with catered meals, events, and comfortable workspaces

What This Job Offers

• Job Type: Full-time
• Career Level: Senior