Software Engineer I - ML Infra

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.

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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.

• 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

• 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

• 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

• 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