Staff Machine Learning Engineer (AI R&D)

Join Robinhood as a Staff Machine Learning Engineer on the AI R&D team. In this role, you will design and deliver sophisticated personalization and recommendation systems that impact millions of users. You will collaborate with product, data engineering, and fellow ML engineers, define the team's technical direction, mentor engineers, and push the boundaries of modern ML. This position offers a unique combination of technical depth, product impact, and the opportunity to build systems that don't exist anywhere else.

• Design, build, and ship end-to-end personalization, ranking, and recommendation systems that power core Robinhood products.
• Lead zero-to-one development of new ML capabilities — prototyping, iterating, and scaling models in a high-stakes fintech environment.
• Set the technical bar through architecture reviews, code reviews, and mentorship — helping to elevate the craft and velocity of the broader AI R&D team.
• Exposure to or hands-on experience with agentic systems, LLM fine-tuning, or other modern AI paradigms — and the technical judgment to know when (and when not) to apply them
• 10+ years of experience as a Machine Learning Engineer, with a strong foundation in ML fundamentals (ranking, recommendation systems, deep learning, optimization) and a track record of shipping models to production at scale
• Proven ability to deliver projects from zero to one: you've taken ambiguous, high-impact problems and built production-grade solutions with measurable results
• A Master's degree in Computer Science, Statistics, or a related technical field, or equivalent professional experience; strong coding skills in Python and familiarity with ML infrastructure tooling
• Demonstrated expertise in personalization and recommendation systems — specifically, experience owning these systems end-to-end in a high-traffic, data-rich environment (fintech, e-commerce, social, or equivalent)