Work on a large-scale recommendation system, consisting of deep learning training pipeline, serving infrastructure, and feature processing / storage.
Develop capacity and monitoring plans for the services you write
Write maintainable code with extensive test coverage, working in a professional software engineering environment (with source control, dev/stage/prod release cycle, continuous deployment)
Collaborate with applied scientists and other engineers across the company
Experience in large-scale software projects
Exceptional coding ability
Distributed architecture skills
Excellent communicator and team player
Ability to learn new languages (we mainly use Go and Python) and technologies quickly
Interest in machine learning
A Bachelors or preferably Masters degree in Computer Science, or Computer Engineering, or equivalent experience
You know Go and have used it in production-ready systems.
Contributions to open source software projects. Send us a link to your contributions.
Data pipeline experience
Background working with machine learning systems
Background in recommendation systems.
Medical, Dental, Vision & Disability Insurance
Maternity & Parental Leave
Amazon Employee Discount
Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.)
Breakfast, Lunch & Dinner Served Daily
Free Snacks & Beverages
Twitch is the world's leading video platform and community for gamers, with more than 100 million visitors per month. We connect gamers from around the world by allowing them to broadcast, watch, and chat with each other. Twitch's live and on-demand video platform forms the backbone of a distribution network for video game broadcasters including pro players, tournaments, leagues, developers and gaming media organizations. Twitch is leading a revolution in gaming culture, turning gameplay into an immersive video experience. Learn more at http://twitch.tv.
We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.