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 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 role

The mission of the AI infra team at Robinhood is to provide an agile and centralized AI platform that empowers teams to rapidly build, deploy, and iterate high-quality and highly reliable AI (ML and GenAI) applications at scale.

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.

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, 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 distributed systems, ML 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
• 1+ 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

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.

Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training