Staff Machine Learning Engineer, Platform

Menlo Park, CA

Robinhood

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Join a leading fintech company that’s democratizing finance for all.

Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

With growth as the top priority...

The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.

About the team + role

Robinhood stands at the crossroads of data-driven insights and technological innovation. As a Senior 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.

The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.

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

  • 3+ 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

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)$1—$1 USDZone 2 (Denver, CO; Westlake, TX; Chicago, IL)$1—$1 USDZone 3 (Lake Mary, FL)$1—$1 USD

Click here to learn more about available Benefits, which vary by region and Robinhood entity.

We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.

Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Data pipelines Engineering Finance FinTech Flink Golang Kafka Machine Learning ML infrastructure ML models Pipelines Privacy Python Security Spark

Perks/benefits: Career development Competitive pay Equity / stock options Fertility benefits Flex vacation Health care Lunch / meals Parental leave Salary bonus Startup environment Wellness

Region: North America
Country: United States

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