Sr. Software Engineer, ML Infra

Amazon•San Francisco, CA

11d

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 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.

Requirements

5+ years of non-internship professional software development experience
5+ years of programming with at least one software programming language experience
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
Experience as a mentor, tech lead or leading an engineering team
4+ years of work experience building and operating large-scale production Machine Learning systems or extensive experience building distributed systems and ability to learn specifics of ML systems.
Knowledge and experience in Cloud technologies (e.g. AWS, GCP) and containerization software (e.g. Docker, Kubernetes, Mesos).
Bar raiser for full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience.
Proficiency in data structures, algorithms, Python, Golang.
Excellent verbal and written communication skills.
Bachelor’s degree in Computer Science or equivalent experience.

Nice To Haves

Experience building and launching large-scale ML infrastructure for recommendations, ads personalization, search etc.
Experience working with large-scale data pipelines and storage systems.
Knowledge of supervised ML algorithms
Familiarity with AWS services.
Contributions to open source software projects. Send us a link to your contributions!
Familiarity with Twitch and/or streaming on Twitch

Responsibilities

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