Senior Machine Learning Engineer, AI Platform & Agentic Apps

Location: Menlo Park, California, with in-person attendance expected at least 3 days per week

Base pay: $255,000–$300,000 USD annually for Zone 1 locations; other compensation zones range from $199,000 to $264,000 USD. Additional bonus, equity, and benefits are available.

Company

Robinhood is a financial technology company building products intended to democratize finance and developing AI systems for internal and customer-facing financial workflows.

What you will do

• Design and build the agent harness, including orchestration, tool integrations, context management, and memory.
• Ship production agentic applications that take real action for employees and customers.
• Build trajectory-level evaluation systems using tool-call scoring, simulation environments, and synthetic task generation.
• Develop action guardrails including least-privilege tool scoping, permission models, human-approval gates, limits, sandboxing, and rollback.
• Deliver SDKs, CI regression gates, red-teaming workflows, and production tracing for adoption by other engineering teams.
• Set technical direction through architecture reviews, code reviews, mentorship, and evidence-based deployment decisions.

Requirements

• 10+ years of experience as a Machine Learning Engineer or ML-focused software engineer.
• Strong Python and distributed-systems fundamentals, with experience shipping LLM-powered systems to production at scale.
• Hands-on experience building production agentic systems with tool use, orchestration, context management, and multi-step planning.
• Expertise in trajectory-level evaluations, tool-call scoring, simulation environments, evaluation methodology, and statistical analysis.
• Experience designing agent action guardrails, permission models, approval gates, blast-radius controls, and sandboxing.
• Experience building platforms and tooling adopted by other engineering teams; a Master's degree in Computer Science or equivalent professional experience.

Culture & Benefits

• High-impact work focused on AI platforms and agentic applications in a regulated financial environment.
• In-person office experience with catered meals, events, and comfortable workspaces.
• Performance-based compensation with bonuses, equity ownership, and 401(k) matching.
• Health insurance, life and disability insurance, fertility benefits, and mental health benefits.
• Paid time off, company holidays, sick time, parental leave, and a flexible lifestyle wallet for wellness and learning.
• Access to AI tools, continuous AI skill-building, and an employee investment fund for eligible US employees.