Machine Learning Engineer

San Francisco, CA

Applications have closed
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Posted 8 months ago

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

We are looking for passionate ML engineers who are excited to solve challenging and open-ended problems in the creation of automated safety products. As an ML engineer on our Trust & Safety team, you will build systems which help us better understand user behaviors and several types of user-generated content. Reporting to the Director of Engineering, you will develop infrastructure for next-generation intelligent products using ML models with an outstanding applied science team. You will help ensure that creators and viewers on Twitch can build thriving communities by eliminating negative interactions (harassment, inappropriate content, etc).

You Will:

  • Build and maintain performant, responsive major software web services and large-scale applications
  • Embrace and champion engineering best practices within your group
  • Produce clean, high-quality code, tests, and well written documentation
  • Contribute engineering input and feedback into product planning processes
  • Partner with fellow engineering teams to accomplish complex programs together

You Have:

  • BA/BS in computer science or equivalent experience
  • 3+ years of work experience or relevant experience with a PhD in CS or related field
  • 2+ years of work experience building large-scale production ML systems
  • Experience with ML libraries/frameworks such as Keras, Tensorflow, AWS Sagemaker
  • Experience of Software development in one or more of the general purpose programming languages: C/C++, Go, Python, Java
  • Desire and ability to write production quality code

Bonus Points

  • MS or PhD in CS or related field
  • Experience in one or many of the following areas
  • Familiarity with AWS services
  • In memory key value stores such as memcache, Redis
  • SQL and NoSQL databases
  • Kinesis or Kafta data streams
  • Building large-scale data pipelines


  • 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 

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, sexual orientation, age, marital status, veteran status, or disability status.

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

Job tags: AWS Engineering Java Keras Machine Learning NoSQL Python SQL TensorFlow