Staff Machine Learning Engineer, AI R&D

Stack

Responsibilities

• ▹Design, build, and ship end-to-end personalization, ranking, and recommendation systems
• ▹Partner closely with product, data engineering, and platform teams to define technical strategy
• ▹Lead zero-to-one development of new ML capabilities in a high-stakes fintech environment
• ▹Evaluate and integrate modern AI paradigms, including agentic workflows and LLM fine-tuning, into existing ML systems
• ▹Set the technical bar through architecture reviews, code reviews, and mentorship

Requirements

• ▹10+ years of experience as a Machine Learning Engineer with strong ML fundamentals (ranking, recommendation systems, deep learning, optimization)
• ▹Track record of shipping models to production at scale
• ▹Demonstrated expertise in personalization and recommendation systems in a high-traffic, data-rich environment (fintech, e-commerce, social, or equivalent)
• ▹Proven ability to deliver zero-to-one projects 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 related field, or equivalent experience; strong Python and ML infrastructure skills

Soft skills

What we offer

• ▹Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching
• ▹100% paid health insurance for employees, 90% coverage for dependents
• ▹Access to top AI tools and continuous AI skill-building
• ▹Flexible lifestyle wallet benefits account
• ▹Employer-paid life and disability insurance, fertility and mental health benefits
• ▹Paid time off: company holidays, PTO, sick time, parental leave
• ▹Catered meals, events, and comfortable office spaces

About the company

Robinhood's mission is to democratize finance for all. The company is building an elite, fast-moving team applying frontier technology to the world's biggest financial problems, based in Menlo Park, CA and Bellevue, WA, with at least 3 days a week in office.