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 Position
Twitch is building the future of interactive entertainment. 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 a senior ML engineer on Twitch’s Trust & Safety team, you will build systems which help us better understand user behaviors and various types of user-generated content. You will be developing infrastructure for next-generation intelligent products using state of the art ML models with a world class 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).
At Twitch, which is part of Amazon, you’ll experience the benefits of working in a dynamic, entrepreneurial environment in the heart of San Francisco, while leveraging the resources of Amazon.
You’ll find a Requirements section below. If you meet all these then we encourage you to apply. If you only meet some of them but think this role sounds like something you’d be great at, we encourage you to apply. If you meet just one of them but think you’ll bring something unique to the team, we encourage you to apply.
Build and maintain performant, responsive major software web services and large scale applications
Embrace and champion engineering best practices within your group and Twitch
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 deliver on complex initiatives together
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, etc
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
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 or Redis, SQL and NoSQL databases, Kinesis or Kafta data streams, building large scale data pipelines, and/or working in high energy small startup environments
Medical, Dental, Vision & Disability Insurance
Maternity & Parental Leave
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.