ML Infrastructure Engineer - Safety Product

Job description

DESCRIPTION

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.

Responsibilities
· 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

Desired profile

BASIC QUALIFICATIONS

· 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