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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 Seattle, WA and New York City, NY

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

You Have:

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

Bonus Points

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

Perks

Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount

Job ID: TW8973

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.

US Pay Per Year

$99,500—$200,000 USD

Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Twitch values your privacy. Please consult our Candidate Privacy Notice, for information about how we collect, use, and disclose personal information of our candidates.

Software Engineer, ML