Software Development Engineer - Safety ML

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

As a software engineer on Twitch’s Safety ML team, you will leverage machine learning to develop the systems that keep the everyday Twitch user safe from abuse such as harassment, spam, and illegal content. You will collaborate with a passionate team of scientists and engineers to build the systems necessary to train, evaluate, and productionize our various models. You will build the tools and systems necessary to integrate these models into various parts of the Twitch experience to protect our users from harm.

You can work from San Francisco, CA.

You Will:

• Design, build, and deploy reliable and performant services to protect Twitch and its users from abusive behavior such as harassment, spam, and violent or illegal content


• Collaborate with Community Health’s science and product management team to productionize and scale models into ML-based services to be used across Twitch.


• Design and build performant and reliable systems that handle multiple types of data, such as user behavior, metadata, and user generated content at scale for model development


• Deliver high-quality code, tests, and documentation

You Have:

• Bachelor's degree in Computer Science or related field or equivalent industry experience as a Software Engineer


• Familiarity with scalability, concurrency, API design, data modeling, and distributed systems fundamentals


• Willingness to learn and keep up with developments in the ever-evolving ML space


• Willingness to try new things and work with a diverse group of people across many functions

Bonus Points

• Familiarity with machine learning techniques


• Experience writing Go in production systems


• Familiarity with Python and modern open source ML libraries (Pytorch, Tensorflow, etc.)


• Experience with AWS infrastructure

Perks

• Medical, Dental, Vision & Disability Insurance


• 401(k)


• Maternity & Parental Leave


• Flexible PTO


• Amazon Employee Discount

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.

Twitch values your privacy. Please consult our Candidate Privacy Notice , for information about how we collect, use, and disclose personal information of our candidates.

Job ID: TW8779

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience . Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit . Applicants should apply via our internal or external career site.

US Pay Per Year

$99,500—$200,000 USD