Staff Machine Learning Engineer, Platform
Robinhood, Menlo Park, CA, United States
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.