Staff Machine Learning Engineer (AI)

TL;DR

Staff Machine Learning Engineer (AI/Fintech): Designing and delivering sophisticated personalization and recommendation systems for a high-traffic financial platform with an accent on ranking, LLM fine-tuning, and agentic workflows. Focus on scaling models from zero to one in a regulated environment and optimizing product intelligence for millions of users.

Location: Must be based in Bellevue, WA or Menlo Park, CA (Hybrid: in-person attendance expected at least 3 days per week)

Company

Robinhood is a fintech company on a mission to democratize finance for all.

What you will do

• Design and ship end-to-end personalization, ranking, and recommendation systems for growth, social feeds, and search.
• Manage the full ML lifecycle from feature engineering through model deployment and monitoring.
• Partner with product, data engineering, and platform teams to define technical strategy and scope complex projects.
• Lead the development of new ML capabilities, including prototyping and scaling agentic workflows and LLM fine-tuning.
• Elevate the technical bar through architecture reviews, code reviews, and mentorship of other engineers.

Requirements

• 10+ years of experience as a Machine Learning Engineer with a track record of shipping production models at scale.
• Demonstrated expertise in personalization and recommendation systems (ranking, deep learning, optimization).
• Proven ability to deliver high-impact projects from zero to one in data-rich environments.
• Strong coding skills in Python and familiarity with ML infrastructure tooling.
• Master's degree in Computer Science, Statistics, or a related technical field, or equivalent professional experience.

Nice to have

• Hands-on experience with agentic systems or LLM fine-tuning.

Culture & Benefits

• Performance-driven compensation including bonus programs and equity ownership.
• Comprehensive benefits: 100% paid health insurance for employees and 401(k) matching.
• Flexible "Lifestyle wallet" for wellness, learning, and personal growth.
• Employer-paid life, disability, fertility, and mental health benefits.
• High-quality office experience with catered meals and events.