About the company Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch
Job description
Creators are the backbone of Twitch, and their sustainability relies on their ability to earn a living doing what they love. As a member of the Commerce ML engineering team, your main focus is to build products and features that allow creators to earn that living. You will work with scientists across the stack and across functions to build the technology and data products that personalizes experiences to enrich our community and protect our business from bad actors. You will own your services - building and operating them. You will partner with other engineers, scientists, product managers, and data specialists to deliver solutions. Your manager will be part coach, part cheerleader - but never a task manager.
You Will:
Work with product managers, scientists, and other engineers to create data-driven personalized experiences
Develop feature and inference pipelines and tools for automating machine learning
Build high-quality code, accept feedback on your code and provide feedback to others
Collaborate with your team on architecture, implementation, and overcoming obstacles
Obsessively care about and work backwards from the customer's experience
You Have:
Experience with big data computation frameworks, such as Hadoop, Flink, or Spark
Back-end coding skills in modern languages such as: Golang, TypeScript, Scala, or Python
Exposure to ML frameworks, such as XGBoost, PyTorch, or TensorFlow
Minimum of Bachelor's degree in Computer Science or equivalent experience
Proficiency in implementing data structures, data pipelines, CI/CD mechanisms, and orchestration
Bonus Points
Experience developing software in a professional environment
Experience building consumer-facing products at scale, including deployment and monitoring
Familiar with building software and services using AWS technologies such as DynamoDB, ElastiCache, Lambda, Step Functions, EC2, SageMaker, Spark, EMS, RedShift, or Kinesis
Familiarity with A/B experimentation concepts and implementation
Familiarity with Twitch communities, gaming or streaming your own content on Twitch
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