Job details

Software Engineer I - ML Infra - job 1 of 2

San Francisco, CA

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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 Software Engineer to join our Machine Learning Infrastructure team. You will work with software engineers, applied scientists, data engineers, 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. Experimentation is our bread-and-butter and you will have hands-on experience preparing and launching model-based experiments to improve products.

This position is in San Francisco, CA.

You Will:

Produce clean, high-quality, and well tested code
Design and build scalable infrastructure to train, deploy and manage ML models
Develop and automate software for ML workflows
Instrument systems to monitor model performance
Optimize cost and performance of training and inference workloads
Collaborate with Software Engineers, Data Engineers, Applied Scientists, Data Scientists, and Product Managers to productionize ML models powering Twitch recommendations and search experiences

You Have:

1+ Years experience developing software in a professional environment
Knowledge of data structures and algorithm fundamentals
Knowledge of building, testing, and managing distributed services
Proficient coding skills in modern languages and frameworks
Minimum of Bachelor’s degree in Computer Science or equivalent experience

Bonus Points

Experience with AWS technologies such as ECS, Sagemaker, Redshift, DynamoDB, Lambda, SQS, and Step Functions
Knowledge of supervised ML algorithms
Experience in building data pipelines and using data platforms like Airflow
Experience building and maintaining ML systems in production environments
Familiarity with Twitch and/or streaming on Twitch

Perks

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

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job ID: TW8817

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.

US Pay Per Year

$99,500 - $200,000 USD

Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.