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.
The mission of the AI Infrastructure team at Robinhood is to provide an agile and centralized AI platform that empowers teams to rapidly build, deploy, and iterate high-quality AI (ML and GenAI) applications at scale and with high reliability.
As a manager of the AI Infra team, you will play a critical role in shaping the future of AI at Robinhood by leading a team of engineers focused on AI/ML infra scalability and reliability, data infrastructure, and AI tooling. In addition to this, you will help scale the growth of the AI Infra team by hiring top AI talent from across the industry.
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- Lead and mentor a team of engineers focused on scalable AI/ML infrastructure in terms of compute (CPU/GPU) and memory.
- Driving improvements to the model development lifecycle (training, deployment, and monitoring), optimization of ML pipelines, feature stores, vector databases and real-time inference systems.
- Collaborate with several different teams within the company including Applied ML, Data Infrastructure, Product, Growth, Fraud and Risk engineering to ensure the AI infrastructure meets their development needs
- Define and execute a long-term roadmap for AI Infra, balancing scalability, reliability, and developer velocity.
- Manage a team of engineers which includes planning and prioritizing projects, conducting 1-1s with your direct reports and providing directions to unblock tasks.
- Strong technical expertise in machine learning infrastructure, data infrastructure, platform engineering and software engineering
- Experience with building machine learning models, distributed systems, model serving, feature stores, and data engineering for AI
- Familiarity with modern AI/ML tools (e.g. Ray, Kubeflow, Spark, TensorFlow Serving, Triton, SageMaker)
- Proficiency in programming languages like Python, C++, or similar, along with AI/ML frameworks (e.g., TensorFlow, PyTorch)
- Ability to align AI Infra with business and product needs, balancing trade-offs between innovation and operational excellence
- Demonstrated ability to manage complex technical projects, balancing scope, resources, and timelines
- Ability to identify, hire and retain top AI & ML talent from the industry and leading graduate programs
- Graduate degree in a quantitative field such as mathematics, statistics, engineering or natural sciences and some experience in software engineering in a production environment
- Background in model governance, ethical AI
- OSS experience
- 2+ years of experience in managing a world class ML/ AI Engineering team
- 5+ years of experience as a software engineer prior to management.
- 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!
- Vibrant 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.
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.
Top Skills
Robinhood Bellevue, Washington, USA Office
Bellevue, WA, United States
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