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Robinhood is seeking a Staff Machine Learning Engineer to join its AI R&D team, which sits at the core of the company's product intelligence. The team builds and scales high-impact ML models powering personalization, search, social feeds, fraud detection, and risk management for millions of users.
In this role, you will own the design and delivery of sophisticated personalization and recommendation systems that directly shape what users see and do on the Robinhood platform. You'll serve as a technical anchor on a growing, high-caliber team, collaborating with product, data engineering, and fellow ML engineers to take ambitious ideas from concept to production at scale.
Key responsibilities include:
- Design, build, and ship end-to-end personalization, ranking, and recommendation systems handling the full ML lifecycle from feature engineering through deployment and monitoring
- Partner with product, data engineering, and platform teams to define technical strategy, scope complex projects, and drive execution across multiple workstreams
- Lead zero-to-one development of new ML capabilities in a high-stakes fintech environment where data quality and regulatory constraints are critical
- Evaluate and integrate modern AI paradigms including agentic workflows and LLM fine-tuning into existing systems
- Set technical standards through architecture reviews, code reviews, and mentorship of the broader team
You bring 10+ years of ML engineering experience with strong fundamentals in ranking, recommendation systems, deep learning, and optimization. You have demonstrated expertise owning personalization and recommendation systems end-to-end in high-traffic, data-rich environments (fintech, e-commerce, social, or equivalent). You've successfully delivered projects from zero to one with measurable impact, have exposure to agentic systems or LLM fine-tuning, and hold a Master's in Computer Science, Statistics, or related field (or equivalent professional experience). Strong Python coding skills and familiarity with ML infrastructure tooling required.
The role is based in Menlo Park, CA and Bellevue, WA offices with in-person attendance expected at least 3 days per week. Robinhood offers competitive compensation with performance multipliers, equity ownership, 401(k) matching, comprehensive health insurance, and access to premium AI tools with continuous skill-building opportunities.
