Robinhood3 дня назад

Staff Machine Learning Engineer, AI R&D

Зарплата не указана
Bellevue

Навыки

PythonMachine LearningDeep LearningRecommendation SystemsRanking SystemsFeature EngineeringModel DeploymentLLM Fine-tuningAgentic SystemsML Infrastructure

Обязанности

  • 01Design, build, and ship end-to-end personalization, ranking, and recommendation systems that power core Robinhood products including growth, social feeds, and search
  • 02Handle the full ML lifecycle from feature engineering through model deployment and monitoring
  • 03Partner closely with product, data engineering, and platform teams to define technical strategy, scope complex projects, and drive execution across multiple workstreams
  • 04Lead zero-to-one development of new ML capabilities — prototyping, iterating, and scaling models in a high-stakes fintech environment
  • 05Evaluate, experiment with, and integrate modern AI paradigms including agentic workflows and LLM fine-tuning into existing ML systems
  • 06Set the technical bar through architecture reviews, code reviews, and mentorship — helping to elevate the craft and velocity of the broader AI R&D team

Требования

  • 0110+ years of experience as a Machine Learning Engineer
  • 02Strong foundation in ML fundamentals (ranking, recommendation systems, deep learning, optimization)
  • 03Track record of shipping models to production at scale
  • 04Demonstrated expertise in personalization and recommendation systems
  • 05Experience owning these systems end-to-end in a high-traffic, data-rich environment
  • 06Proven ability to deliver projects from zero to one: taking ambiguous, high-impact problems and building production-grade solutions with measurable results
  • 07Exposure to or hands-on experience with agentic systems, LLM fine-tuning, or other modern AI paradigms
  • 08Master's degree in Computer Science, Statistics, or a related technical field, or equivalent professional experience
  • 09Strong coding skills in Python
  • 10Familiarity with ML infrastructure tooling

Условия

  • 01Role based in Menlo Park, CA and Bellevue, WA offices
  • 02In-person attendance expected at least 3 days per week
  • 03Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
  • 04100% paid health insurance for employees with 90% coverage for dependents
  • 05Access to the best AI tools on the market and continuous AI skill-building
  • 06Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
  • 07Employer-paid life & disability insurance, fertility benefits, and mental health benefits
  • 08Company holidays, paid time off, sick time, parental leave
  • 09Exceptional office experience with catered meals, events, and comfortable workspaces