Staff Machine Learning Engineer, Platform

About the team role Robinhood stands at the crossroads of data-driven insights and technological innovation. As a Staff Machine Learning Engineer, you will work closely with application teams and AI practitioners to rapidly build, deploy, and iterate high-quality AI solutions at scale, ensuring both reliability and effectiveness. Your deep expertise in the machine learning model development cycle, along with a strong understanding of data pipelines, will be crucial in crafting a dependable and scalable infrastructure for all of Robinhood to rely on. We are looking for a dedicated and ambitious individual to accelerate the development and expansion of AI-powered products. In this role, you will work closely with our applied machine learning, agentic AI, and data science teams to drive Robinhood's progress. You'll also play a key role in developing a centralized AI platform that supports agentic workflows and machine learning applications, ensuring seamless integration with Robinhood's existing systems. A strong grasp of AI and data infrastructure is essential, as you will provide strategic guidance to our partners in building their applications. What you’ll do Own and implement high-impact projects for our centralized AI platform with meticulous planning, ensuring quality work within remarkable timeframes. Demonstrate technical leadership by providing guidance and expertise in agentic AI workflows, machine learning model development, and data pipelines. Engage with technical leaders to refine and elevate Robinhood's AI development process through platform initiatives. Drive the development to deployment of cross-functional AI products with exemplary system design skills and coding, ensuring technical excellence. Simplify access to data needed to power AI applications, while ensuring security and governance. What you bring 5 years of hands-on involvement in top-tier ML platform, ML Ops, or ML infrastructure or data projects. A fervent interest in exploring and applying AI and ML technologies. Strive to solve sophisticated engineering problems that drive business objectives. Solid technical foundation enabling active contribution to the design and execution of projects and ideas. Practical experience with ML platform services like feature/embedding store, distributed training platform, and real-time inferencing service. Strong communication skills and ability to write detailed technical specifications. Proficiency in Python and/or Golang. Experience with AWS Platform and databases, Spark, Ray, Kafka, and Flink is also desirable. What we offer Market competitive and pay equity-focused compensation structure. 100% paid health insurance for employees with 90% coverage for dependents. Annual lifestyle wallet for personal wellness, learning and development, and more Lifetime maximum benefit for family forming and fertility benefits. Dedicated mental health support for employees and eligible dependents. Generous time away including company holidays, paid time off, sick time, parental leave, and more Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits. J-18808-Ljbffr