Software Engineer, Recommendations - Machine Learning

About Us

Twitch is the world’s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It’s where millions of people come together to chat, interact, and make their own entertainment. 

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 Twitter, get interviewing tips on Instagram, and discover projects we’re solving on our Blog.

About the Role

The Twitch service is growing at rapid clip, connecting millions of creators with millions of viewers. Connecting the right viewers to the right creators helps build the community and strengthens the service. A large part of this discovery is guided by Machine Learning (ML) based recommendation systems. Twitch is looking for a Software Engineer to join our Recommendations team. You will work with Applied Scientists and software engineers to develop next-generation recommendation systems using state-of-the-art in machine learning (ML), and report to the manager of recommendations team. You will build high-quality code to help grow your team's impact and scope, and ensure that large projects with complex components are delivered. You will work cross-team with product and program leadership, and will see your work used to power discovery products across Twitch. You will work towards helping Twitch viewers and content creators build thriving communities by helping viewers find relevant content and helping creators get discovered.

This position can be located in San Francisco, CA; Irvine, CA; Seattle, WA; New York, NY; and Salt Lake City, UT.

You Will:

• Develop new product features that are powered by ML to help connect viewers and creators
• Design and develop scalable infrastructure that enables deploying machine learning models on petabytes of data
• Produce clean, high-quality, and well tested code

You Have:

• Knowledge of Data structures and algorithm fundamentals
• Experience writing quality software in any of the following languages: Java, Python, Ruby, C/C++, Golang
• Knowledge of building, testing, and supporting distributed services
• 1+ years of experience

Bonus Points

• Knowledge of AWS services
• Knowledge of supervised ML algorithms
• Experience in building data pipelines
• Experience building and maintaining ML systems in production environments

Perks

• Medical, Dental, Vision & Disability Insurance
• 401(k)
• Maternity & Parental Leave
• Flexible PTO
• Amazon Employee Discount
• Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.)

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

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

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.

The pay range for this position in Colorado and Connecticut is $117,000 - $143,000 yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act and CT House Bill Number 6380. Base pay information is based on market location. Applicants should apply via Twitch's internal or external careers site.

Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.

Job ID: TW6985