Senior Machine Learning Engineer, Agentic

Robinhood is seeking a Senior Machine Learning Engineer to join their Agentic team, working at the intersection of AI and finance. This role is central to building the foundation for AI agents that will power the next generation of AI financial products and internal tools. The position offers an opportunity to work on cutting-edge technology while democratizing finance for all, particularly significant as the industry faces the largest transfer of wealth in human history - an estimated $124 trillion of assets being inherited by younger generations.

The role involves designing and implementing sophisticated AI agent systems, from rapid prototyping tools to production-grade infrastructure. You'll be responsible for creating scalable experimentation platforms, developing optimization pipelines, and implementing advanced techniques like Direct Preference Optimization (DPO) and Proximal Policy Optimization (PPO). The position requires expertise in both software development and machine learning, with a focus on Large Language Models and agentic workflows.

Working at Robinhood means joining a high-performing, fast-moving team with ethics at its core. The company offers competitive compensation, comprehensive benefits, and the chance to work on impactful projects. The role is based in either Bellevue, WA or Menlo Park, CA, with an in-office working environment that includes perks like catered meals and fully stocked kitchens.

This is an excellent opportunity for experienced ML engineers who want to shape the future of financial technology while working with cutting-edge AI systems. The role combines technical challenges with real-world impact, offering the chance to build systems that will transform how people interact with financial services.