Robinhood

Robinhood

Staff Machine Learning Engineer, AI Platform & Agentic Apps

Menlo Park, CA · Staff+

Sponsorship not specified$255k-$300kDetected 11 days ago
PythonCode ReviewMachine LearningSparkLLMsAgentic AIMentoring

Stay score

odds of building a lasting career here

59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level IV · 4×
Level I$137,0931 entry
Level II$165,1312 entries
Level III$193,1493 entries
Level IV$221,1874 entries

This range already reaches Level IV — the maximum four lottery entries.

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • trajectory-level evals that measure how an agent reasons and acts, and action guardrails - permission models, approval gates, and sandboxing - built as platform primitives that other teams adopt.
  • You'll be a technical anchor on a growing, high-caliber team, collaborating with product, infrastructure, and fellow ML engineers to take ambitious ideas from zero to one and into production.
  • You'll help define the team's technical direction, mentor engineers, and shape how Robinhood decides an agent is ready to ship.

Responsibilities

  • Design and build the core of Robinhood's agent harness - orchestration, tool integrations, context and memory management - so one platform can safely power both high-trust internal agents and tightly scoped customer-facing ones.
  • Build trajectory-level evaluation systems that score how an agent got to an answer, not just the answer - tool-call correctness, planning and recovery, multi-step task completion - backed by simulation environments and synthetic task generation.
  • Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
  • If our mission energizes you and you're ready to build the future of finance, we look forward to seeing your application.
  • AI Usage Disclosure: Robinhood uses artificial intelligence (AI) tools to support parts of our recruiting process.

Requirements

  • A Master's degree in Computer Science or a related technical field, or equivalent professional experience.
  • 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 - permission and tool-scoping models, approval gates, blast-radius controls, and sandboxing - for agents operating in systems where mistakes have consequences.
  • Exceptional office experience with catered meals, events, and comfortable workspaces.
  • 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 - tool use, orchestration, context management, multi-step planning - on top of frontier models, in production.
  • 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.

Compensation

  • $255,000 - $300,000 USD
  • $225,000 - $264,000 USD
  • $199,000 - $234,000 USD
  • Base Pay Range:

Benefits

  • Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
  • Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
  • In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
  • Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands.

Company info

  • Join us in building the future of finance.
  • Our mission is to democratize finance for all.
  • An estimated $124 trillion of assets will be inherited by younger generations in the next two decades.
  • The largest transfer of wealth in human history.
  • If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.
  • We are building an elite team, applying frontier technologies to the world's biggest financial problems.
  • We're looking for bold thinkers.
  • Sharp problem-solvers.
  • Builders who are wired to make an impact.
  • Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers.
  • We're a high-performing, fast-moving team with ethics at the center of everything we do.
  • Expectations are high, and so are the rewards.
  • The AI Platform & Agentic Apps team builds the agent platform behind every AI agent at Robinhood.
  • Today it gives a growing number of engineers and employees an AI teammate that ships code, queries data, and runs operational workflows on their behalf.

Equal opportunity

  • Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws.
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This listing is sourced directly from Robinhood's careers page and normalized into a canonical job model.