Software Engineer, ML Products

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.

We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X,  and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.

We are seeking Software Engineers to join the ML Products team. This team is focused on matching Twitch viewers with the communities they will love. To do this, we own the systems which power recommendations, search, notifications, feed, and onboarding. As a member of our team, you'll work to improve these products, invest in new ones, and make Twitch discovery better for both viewers and creators. You'll be part of a larger team of Software Engineers and partner with Product Managers, Applied Scientists, and other engineering teams across the company.

This role is based in San Francisco, CA.

• Maintain and improve the systems which power discovery on Twitch
• Partner with Applied Scientists to improve ML models that match interested viewers with relevant creators
• Collaborate with Product Managers to build, experiment, and roll out new Twitch discovery experiences

• Bachelor's degree in Computer Science or a related field (or equivalent industry experience as a Software Engineer)
• 1+ years of experience delivering high quality software in a production environment
• Proficient coding skills in modern languages and frameworks
• Familiarity with scalability, concurrency, API design, data modeling, and distributed systems fundamentals
• Willingness to try new things and collaborate with a diverse group of people

• Experience with AWS technologies (such as S3, ECS, Lambda, DynamoDB, Redis, SQS, Flink, OpenSearch, and Sagemaker)
• Experience writing Go in production systems
• Experience with recommendations, search, or notification systems
• Experience building and maintaining ML systems in production environments
• Familiarity with Twitch and/or streaming on Twitch