Software Development Engineer, Twitch

• 5+ years of professional software engineering experience
• 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)
• Experience leading design or architecture (design patterns, reliability and scaling) of new and existing systems
• Experience as a mentor and tech lead of engineering teams
• 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

Desirable

• 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
• 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

• This position will remain open until filled