Software Engineer I, Monetization ML at Twitch in San Francisco, CA

Summary: Twitch is the world’s biggest live streaming service, with global communities built around gaming and entertainment. The role involves building robust ML infrastructure for personalized monetization experiences and collaborating with teams to integrate ML models into existing services. 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: Software Development, Machine Learning Infrastructure, Model Deployment, Model Serving, Model Monitoring, Python, Java, Go, Distributed Systems, API Development, Data Processing Pipelines, Streaming Technologies, Algorithms, Data Structures, Distributed System Design Benefits: Medical, Dental, Vision & Disability Insurance, 401(k), Maternity & Parental Leave, Flexible PTO, Amazon Employee Discount, Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, Paid time off, Parental leave