Software Engineer, Monetization ML

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.

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

Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• 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

Experience

• 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

Education

• Bachelor's degree in Computer Science, Engineering, or a related field

Benefits

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