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.

Responsibilities

• 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

Requirements

• 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

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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.

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

XML job scraping automation by YubHub