Software Engineer I, Monetization ML

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.

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

• 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

• 1+ years of professional software development experience with a focus on building scalable systems
• Experience building production ML infrastructure, including model deployment, serving, and monitoring systems
• Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies
• A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements
• Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)
• Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design
• Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience

• Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond
• Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines
• Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions
• Knowledge of real-time ML serving systems and model deployment at scale
• Experience with fraud detection, recommendation systems, or monetization optimization
• A passion for gaming, streaming, or the Twitch platform