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Description

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/

About Us:

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.

About the Role

Twitch connects millions of creators with millions of viewers. Our Machine Learning based recommendation and search systems power discovery products across Twitch and help users find content hyper-personalized for them. Twitch is looking for a Senior Software Engineer to join our Machine Learning Infrastructure team. You will work with software engineers, applied scientists and product managers in our Models and Infrastructure group to build next-generation Machine Learning systems. The engineering team is responsible for enabling reliable and efficient productionization of Twitch personalization models, including owning the software and data systems to develop, train and manage our real time and batch models at scale. We own the ML platform and care about designing scalable and easy-to-use ML development environments and systems for our consumers. Experimentation is our bread-and-butter and you will have hands-on experience building and launching model-based experiments to improve products.

You Will

- Architect and build infrastructure to train, deploy and manage performant, scalable and maintainable ML models

- Bridge engineering and research by designing and developing easy to use tooling for ML development

- Optimize cost and performance of training and inference workloads

- Actively mentor other engineers on the team or related teams

- Contribute to shaping the ML infrastructure roadmap, ensuring continual enhancement of our platform

- Collaborate with Software Engineers, Data Engineers, Applied Scientists, Data Scientists, and Product Managers

Perks
* Medical, Dental, Vision & Disability Insurance
* 401(k)
* Maternity & Parental Leave
* Flexible PTO
* Amazon Employee Discount