Robinhood

Robinhood

Senior Machine Learning Engineer, AI Infra

Bellevue, Washington · Senior

Sponsorship not specified$209k-$245kDetected 27 days ago
PythonC++Distributed SystemsElasticsearchVector DatabasesAWSMachine LearningTensorFlowPyTorchSparkData EngineeringMLOpsA/B TestingMentoring

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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$111,6131 entry
Level II$143,1042 entries
Level III$174,5953 entries
Level IV$206,0864 entries

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

DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · Seattle-Tacoma-Bellevue, WA. 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

  • If you're ready to be at the epicenter of this historic cultural and financial shift, keep reading.

Responsibilities

  • Lead the architecture and end-to-end delivery of scalable systems for deploying, monitoring, and managing ML models in production
  • Own the technical direction for key platform areas - including model serving, the feature store, and ML observability infrastructure - from design through long-term reliability
  • Drive cross-functional partnerships with ML practitioners, data engineers, and applied AI teams to streamline workflows, reduce friction, and accelerate experimentation
  • Evolve and scale our feature store to support efficient, low-latency feature retrieval across real-time and batch use cases
  • Define and implement robust observability standards for model performance, data pipelines, and feature freshness across the ML platform
  • Manage and optimize cloud compute resources (CPU/GPU) on AWS to support cost-effective, high-throughput training and inference at scale
  • Contribute to technical strategy and roadmap discussions, and help mentor engineers on the team through design reviews and hands-on guidance
  • Demonstrated ability to own and deliver complex platform systems end-to-end, from architecture to production
  • 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.

Requirements

  • 6+ years of software engineering experience, with meaningful depth in ML infrastructure, data engineering, or model operations
  • Deep expertise in model serving, distributed systems, and production ML workflows at scale
  • Strong proficiency in Python, C++, or similar languages, and hands-on experience with ML frameworks such as TensorFlow or PyTorch
  • Solid knowledge of modern ML infrastructure tooling (e.g., Ray, Kubeflow, SageMaker, TensorFlow Serving, Triton)
  • Experience influencing technical direction across teams and mentoring engineers at varying levels
  • Exceptional office experience with catered meals, events, and comfortable workspaces.

Nice to have

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field
  • advanced degree a plus

Skills

  • Join us in building the future of finance.
  • 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.
  • About the team + role
  • 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.
  • Expectations are high, and so are the rewards.
  • Your work will directly shape how every AI product at Robinhood gets built, scaled, and maintained in production.

Compensation

  • $209,000-$245,000 USD
  • $184,000-$216,000 USD
  • $163,000-$191,000 USD

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

  • Our mission is to democratize finance for all.
  • We're a high-performing, fast-moving team with ethics at the center of everything we do.
  • At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community.

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.