If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/
About Us:
Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.
We’re about community, inside and out. You’ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We’re on a quest to empower live communities, so if this sounds good to you, see what we’re up to on LinkedIn and X, and discover the projects we’re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.
About the Role
We are looking for applied scientists to solve challenging and open-ended problems in the domain of user and content safety. As a Senior Applied Scientist on Twitch's Community team, you will use machine learning to develop data products tackling problems such as harassment, spam, and illegal content. You will lead high profile projects where you will use a wide toolbox of ML tools to handle multiple types of data, including user behavior, metadata, and user generated content such as text and video. You will collaborate with a team of passionate scientists, engineers, and product stakeholders to develop these models and put them into production, where they can help Twitch's creators and viewers succeed and build communities.
You will report to our Senior Applied Science Manager. This position is located in San Francisco, CA.
You Will
- Build machine learning products to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content.
- Propose, design, and oversee execution for high-impact projects that work backwards from customer problems to develop the right solution for the job. Know when to use a classical ML model versus a state-of-the-art one.
- Collaborate with Community Health's engineering and product management team to productionize your models into flexible data pipelines and ML-based services.
- Help drive science culture on the team by staying up to date and experimenting with new techniques in ML, software engineering, and safety.
Perks
- Medical, Dental, Vision & Disability Insurance
- 401(k)
- Maternity & Parental Leave
- Flexible PTO
- Amazon Employee Discount
