Software Engineer II, ML Infra
About The Position
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 II 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.
Requirements
- 3+ years of professional software development experience
- Experience designing and building scalable and easy-to-use ML infrastructure systems
- Experience productionizing, scaling or extending ML models to solve real world use cases
- Experience collaborating with ML platform consumers
- Excellent coding skills in modern languages and frameworks
- Experience with AWS technologies such as ECS, Sagemaker, Redshift, Batch, DynamoDB, Lambda, SQS, and Step Functions
- Minimum of Bachelor’s degree in Computer Science or equivalent experience
- Knowledge of supervised ML algorithms
- Experience in building and managing data platforms
- Familiarity with Twitch and/or streaming on Twitch
Responsibilities
- Design and build scalable infrastructure to train, deploy and manage ML models
- Develop and automate software for ML workflows
- Optimize cost and performance of training and inference workloads
- Actively mentor other engineers on the team or related teams
- Contribute to ML infrastructure roadmap planning
- Collaborate with Software Engineers, Data Engineers, Applied Scientists, Data Scientists, and Product Managers
Benefits
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
