Staff Machine Learning Engineer, Platform

1 month ago

Menlo Park, United States Robinhood Full time
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.
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