Twitch→
Software Engineer I, Monetization ML at Twitch in San Francisco, CA
Entry LevelOn-siteFull-timeSan Francisco, CA$110k–$160k/yr
Skills
ml infrastructureapi developmentpythondata processing pipelinesjavagostreaming technologiesbachelor's degreepassion for gaming
Job Description
Summary: Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. The role involves joining the Monetization ML team to build intelligent systems that enhance personalized experiences for creators and viewers across 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
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: ML infrastructure, API development, Python, Data processing pipelines
Important Skills: Java, Go, Streaming technologies
Nice-to-Have Skills: Bachelor's degree, Passion for gaming
Benefits: Medical, Dental, Vision & Disability Insurance, 401(k), Maternity & Parental Leave, Flexible PTO, Amazon Employee Discount
Benefits
Medical, Dental, Vision & Disability Insurance
401(k)
Maternity & Parental Leave
Flexible PTO
Amazon Employee Discount