Robinhood is seeking a Staff Machine Learning Engineer, AI R&D to design, build, and ship end-to-end personalization, ranking, and recommendation systems that power core Robinhood products. You will work with product, data engineering, and platform teams to define technical strategy, supervise the development of new ML capabilities, and apply modern AI paradigms including agentic workflows and LLM fine-tuning in a high-traffic fintech environment where data quality and regulatory constraints are paramount. The role is based in Robinhood's offices in Menlo Park, CA and Bellevue, WA, United States, with in-person attendance expected at least 3 days per week. You will mentor engineers, set technical direction, and elevate the craft and velocity of the AI R&D team through architecture and code reviews. What you bring: 10+ years of experience as a Machine Learning Engineer with a strong foundation in ranking, recommendation systems, deep learning, and optimization; demonstrated success delivering production-scale models; experience owning personalization systems end-to-end in data-rich settings (fintech, e-commerce, or similar); exposure to agentic systems, LLM fine-tuning, or other modern AI paradigms; a Master’s degree in Computer Science, Statistics, or related field, or equivalent professional experience; strong Python coding skills and familiarity with ML tooling. What we offer: challenging, high-impact work, performance-driven compensation with equity, comprehensive benefits, and access to leading AI tools to continuously grow your skills.

Robinhood is seeking a Staff Machine Learning Engineer, AI R&D to design, build, and ship end-to-end personalization, ranking, and recommendation systems that power core Robinhood products. You will work with product, data engineering, and platform teams to define technical strategy, supervise the development of new ML capabilities, and apply modern AI paradigms including agentic workflows and LLM fine-tuning in a high-traffic fintech environment where data quality and regulatory constraints are paramount. The role is based in Robinhood's offices in Menlo Park, CA and Bellevue, WA, United States, with in-person attendance expected at least 3 days per week. You will mentor engineers, set technical direction, and elevate the craft and velocity of the AI R&D team through architecture and code reviews. What you bring: 10+ years of experience as a Machine Learning Engineer with a strong foundation in ranking, recommendation systems, deep learning, and optimization; demonstrated success delivering production-scale models; experience owning personalization systems end-to-end in data-rich settings (fintech, e-commerce, or similar); exposure to agentic systems, LLM fine-tuning, or other modern AI paradigms; a Master’s degree in Computer Science, Statistics, or related field, or equivalent professional experience; strong Python coding skills and familiarity with ML tooling. What we offer: challenging, high-impact work, performance-driven compensation with equity, comprehensive benefits, and access to leading AI tools to continuously grow your skills.