Amazon
Job ID: 3117129 | Twitch Interactive, Inc. - D48
Apply on Twitch's Career site https://www.twitch.tv/jobs/en/
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 each day. We’re about community, inside and out. You’ll find coworkers eager to team up, collaborate, and solve problems together. We’re on a quest to empower live communities.
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. The Senior Software Engineer will join the Machine Learning Infrastructure team to build next‑generation ML systems, enabling reliable and efficient production of personalization models. You will work with software engineers, applied scientists, and product managers to build scalable platform and systems for real‑time and batch models.
You Will
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
Perks
Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount
Basic Qualifications
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 of new and existing systems (design patterns, reliability and scaling)
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.
Preferred Qualifications
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.
Familiarity with Twitch and/or streaming on Twitch.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Apply on Twitch's Career site https://www.twitch.tv/jobs/en/
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 each day. We’re about community, inside and out. You’ll find coworkers eager to team up, collaborate, and solve problems together. We’re on a quest to empower live communities.
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. The Senior Software Engineer will join the Machine Learning Infrastructure team to build next‑generation ML systems, enabling reliable and efficient production of personalization models. You will work with software engineers, applied scientists, and product managers to build scalable platform and systems for real‑time and batch models.
You Will
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
Perks
Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount
Basic Qualifications
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 of new and existing systems (design patterns, reliability and scaling)
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.
Preferred Qualifications
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.
Familiarity with Twitch and/or streaming on Twitch.
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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