Engineering Manager, AI Infrastructure

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 growth as the top priority...

About the role

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.

Your day-to-day will involve:

• 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.

About you:

• 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

Bonus points:

• 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.

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!
• Vibrant office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$217,000—$255,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$190,000—$224,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$169,000—$199,000 USD