Software 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.

Our team is based in 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


• Mentor other engineers on best practices within the ML space

You Have:

• 3+ years of professional software development experience with a focus on building scalable systems


• Experience building production ML infrastructure, including model deployment, serving, and monitoring systems


• Experience with cloud technologies (AWS, GCP, Azure) and containerization software (Docker, Kubernetes, etc.)


• Proficiency in Go, Python, and distributed systems technologies


• Excellent written and verbal communication skills


• Experience mentoring and supporting fellow engineers or interns


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

Bonus Points

• Experience with model development


• Proficiency with modern open source ML libraries (Pytorch, Tensorflow, ONNX, etc.)


• Experience with workflow orchestration technologies (Airflow) for managing ML pipelines


• Familiarity with Twitch, either as a viewer or creator (or both!)

Perks

• Medical, Dental, Vision & Disability Insurance


• 401(k)


• Maternity & Parental Leave


• Flexible PTO


• Amazon Employee Discount

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

Job ID: TW9078

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at .

US, CA, San Francisco

$193,300 - $261,500 USD

Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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