Software Engineer I, Monetization ML
Amazon.com
If you are interested in this position, please 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 for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products – systems that optimize revenue and detect fraud while serving millions of users in real-time.
From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization.
Our team are based in San Francisco, CA and Seattle, WA
You Will
Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem
Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale
Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users
Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences
Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale
Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows
Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts
Perks
* Medical, Dental, Vision & Disability Insurance
* 401(k)
* Maternity & Parental Leave
* Flexible PTO
* Amazon Employee Discount
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 for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products – systems that optimize revenue and detect fraud while serving millions of users in real-time.
From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization.
Our team are based in San Francisco, CA and Seattle, WA
You Will
Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem
Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale
Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users
Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences
Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale
Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows
Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts
Perks
* Medical, Dental, Vision & Disability Insurance
* 401(k)
* Maternity & Parental Leave
* Flexible PTO
* Amazon Employee Discount
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