Machine Learning Engineer II

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What Twitch is looking for in applicants

About Us:

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. Stay up to date on all things Twitch on Linkedin, Twitter and on our Blog.

About the Role:

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 throughout the company to build the technology and data products that personalizes experiences to enrich our community and protect our business from bad actors. You will oversee your services - building and operating them. You will partner with other engineers, scientists, product managers, and data specialists to provide 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
  • Mentor and set an example for teammates and engage with the Twitch ML technical community


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

Bonus Points

  • 3+ Years 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


  • Medical, Dental, Vision & Disability Insurance
  • 401(k), Maternity & Parental Leave
  • Flexible PTO
  • Commuter Benefits
  • Amazon Employee Discount
  • Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.),
  • Breakfast, Lunch & Dinner Served Daily
  • Free Snacks & Beverages 

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We are an equal opportunity employer and value diversity at Twitch. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status, or other legally protected status.

Job ID: TW6476

Want some tips on how to get an interview at Twitch?

What is Twitch looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Machine Learning Engineer II like?
Interview processes vary by company, role and team. The best plan is to see what others have experienced and then plan accordingly.
How to land an interview at Machine Learning Engineer II?
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