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