2 months ago
Responsibilities
- Design, build, and ship end-to-end personalization, ranking, and recommendation systems for growth, social feeds, and search.
- Own the full machine learning lifecycle from feature engineering through model deployment and monitoring.
- Partner with product, data engineering, and platform teams to define technical strategy and execute complex projects across multiple workstreams.
- Lead zero-to-one development of ML capabilities in a regulated fintech environment.
- Evaluate and integrate agentic workflows and LLM fine-tuning into existing ML systems.
- Set technical standards through architecture reviews, code reviews, and mentorship.
Requirements
- 10+ years of experience as a Machine Learning Engineer, with strong foundations in ranking, recommendation systems, deep learning, and optimization.
- Demonstrated expertise owning personalization and recommendation systems end to end in a high-traffic, data-rich environment.
- Proven ability to take ambiguous, high-impact problems from zero to one and deliver production-grade solutions with measurable results.
- Exposure to or hands-on experience with agentic systems, LLM fine-tuning, or other modern AI paradigms.
- Master's degree in Computer Science, Statistics, or a related technical field, or equivalent professional experience.
- Strong coding skills in Python and familiarity with machine learning infrastructure tooling.
Benefits
- Performance-driven compensation includes bonus programs, equity ownership, and 401(k) matching.
- 100% paid health insurance for employees and 90% coverage for dependents.
- Lifestyle wallet for wellness, learning, and other flexible benefits spending.
- Employer-paid life and disability insurance, fertility benefits, and mental health benefits.
- Company holidays, paid time off, sick time, and parental leave.
- Catered meals, events, and comfortable workspaces.
- Based in Menlo Park, CA or Bellevue, WA, with in-person attendance expected at least 3 days per week.
- Access to AI tools and continuous AI skill-building.
Tech Stack
Categories
About Robinhood
Robinhood builds a mobile-first brokerage and cash management platform for retail investors to trade stocks, ETFs, options, and cryptocurrencies, plus IRAs and a cash card. It makes money through interest on cash and margin, payment for order flow, crypto trading fees, and subscriptions like Robinhood Gold. Founded in 2013 and headquartered in Menlo Park, California, Robinhood Markets is a public company listed on Nasdaq under the ticker HOOD.