Staff Machine Learning Engineer, AI R&D

Join us in building the future of finance.

Our mission

is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

ABOUT THE TEAM

+ ROLE We are building an elite team, applying frontier technologies to the worlds biggest financial problems Were looking for bold thinkers Sharp problem-solvers

Builders who are wired to make an impact Robinhood isnt a place for complacency, its where ambitious people do the best work of their careers Were a high-performing, fast-moving team with ethics at the center of everything we do

Expectations are high, and so are the rewards.

The AI R&D team is at the core of Robinhoods product intelligence.

Our mission

is to build and scale high-impact models that power personalization, search, social feeds, fraud detection, and risk management for millions of Robinhood users. We operate as a cross-functional partner to growth, product, and data engineering—translating complex financial data into intelligent systems that make Robinhood smarter for every customer.

We move fast, raise the bar, and care deeply about building things that matter. If youve ever wanted to solve personalization problems no one else has cracked—in one of the most data-rich, regulated industries on the planet—this is the team for you!

As a Staff Machine Learning Engineer on the AI R&D team, you will own the design and delivery of sophisticated personalization and recommendation systems that directly shape what millions of users see and do on the Robinhood platform

Youll be a technical anchor on a growing, high-caliber team — collaborating with product, data engineering, and fellow ML engineers to take ambitious ideas from zero to one and into production at scale

Youll help define the teams technical direction, mentor engineers, and push the frontier of whats possible when you apply modern ML — including agentic workflows and LLM fine-tuning — to real financial data

This role offers a rare combination of technical depth, product impact, and the satisfaction of building systems that genuinely dont exist anywhere else.

This role is based in our Menlo Park, CA and Bellevue, WA offices, with in-person attendance expected at least 3 days per week.

At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams.

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