Senior Engineering Manager, ML Platform
San Mateo, CA
Roblox
Roblox is the ultimate virtual universe that lets you create, share experiences with friends, and be anything you can imagine. Join millions of people and discover an infinite variety of immersive experiences created by a global community!Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators.
At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there.
A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone.
At Roblox, a deep understanding and measurement of users and creators' experience is critical to Roblox's rapid growth. The machine platform is enabling our developers and creators alike the ability to go from an ML idea to production in weeks or less.
As the Engineering Manager for the ML Platform, you will lead the evolution and scaling of the ML Platform to support a variety of multi-modal AI use cases. With nearly 60 million daily users (and growing!). The ML Platform helps power almost all new features being built at Roblox. We are looking for a seasoned leader with a solid track record of leading world-class teams.
You are:
- An engineering manager with 4+ years of management experience and 10+ years of experience as an individual contributor
- Someone that likes to figure things out, and a hands-on manager who loves to get into the details
- Someone that has architected, designed, and developed a wide-array of software products.
- You’ve managed teams of 10+ individual contributors reporting to you.
- Knowledgeable with REST, API design patterns, and scalable containerized systems and microservices.
- Have built a machine learning platform before
You Will:
- Build teams in the growth organization and lead them while they deploy new services for millions of users.
- Mentor engineers and team leads to make sure your team’s expertise grows over time.
- Work closely with your product partners to define the roadmap and lead the project execution.
- Collaborate with other engineering teams, product and design to improve the existing and develop new functionality, pipelines, and workflow.
- Be guided by the company vision to put the Roblox community first and represent the company through thought leadership
- Develop the service APIs for ML Infrastructure components--Serving Layer, Metadata Store, Model Registry, Feature Store, and Pipeline Orchestrator.
- Partner across organizations to build tooling, interfaces, and visualizations that make the ML@Roblox a delight to use.
You’ll Love:
- Industry-leading compensation package
- Excellent medical, dental, and vision coverage
- A rewarding 401k program
- Flexible vacation policy
- Roflex - Flexible and supportive work policy
- Roblox Admin badge for your avatar
- At Roblox HQ:
- Free catered lunches five times a week and several fully stocked kitchens with unlimited snacks
- Onsite fitness center and fitness program credit
- Annual CalTrain Go Pass
Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Tags: APIs Engineering Machine Learning Microservices ML infrastructure Pipelines REST API
Perks/benefits: Career development Equity Flex hours Flex vacation Health care Lunch / meals Unlimited paid time off
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