About Twitch

Launched in 2011, Twitch is a global community that comes together each day to create multiplayer entertainment: unique, live, unpredictable experiences created by the interactions of millions. We bring the joy of co-op to everything, from casual gaming to world-class esports to anime marathons, music, and art streams. Twitch also hosts TwitchCon, where we bring everyone together to celebrate, learn, and grow their personal interests and passions. We’re always live at Twitch. Stay up to date on all things Twitch on LinkedIn, Twitter and on our Blog.

About the Position 

Twitch is building the future of interactive entertainment. Recommendations, matching viewers with live content they greatly enjoy, is core to that vision. As a backend software engineer on Twitch Recommendations Team, you will help design, prototype and implement systems which enable users to discover personalized content. To solve this broad problem, you may use deep learning (DL), data from live video using computer vision (CV), or chat using natural language processing (NLP). By improving Twitch’s recommendation products, you will help Twitch’s viewers have a great experience, and Twitch’s broadcasters find more passionate fans.

At Twitch, a subsidiary 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.

Responsibilities

  • Work on a large-scale recommendation system, consisting of deep learning training pipeline, serving infrastructure, and feature processing / storage. 
  • Develop capacity and monitoring plans for the services you write  
  • Write maintainable code with extensive test coverage, working in a professional software engineering environment (with source control, dev/stage/prod release cycle, continuous deployment)
  • Collaborate with applied scientists and other engineers across the company

Requirements 

  • Experience being a leader on a team that delivered at least one product with demonstrated business impact  
  • Experience in large-scale software projects
  • Distributed architecture skills
  • Excellent communicator and team player
  • Ability to learn new languages (we mainly use Go and Python) and technologies quickly
  • Interest in machine learning
  • A Bachelors or preferably Masters degree in Computer Science, or Computer Engineering, or equivalent experience

Bonus Points

  • You know Go and have used it in production-ready systems.
  • Start-up experience
  • Contributions to open source software projects. Send us a link to your contributions.
    • Data pipeline experience
    • Background working with machine learning systems 
    • Background in recommendation systems.

Perks

  • Medical, Dental, Vision & Disability Insurance
  • 401(k)
  • Maternity & Parental Leave
  • Flexible PTO
  • Commuter Benefits
  • Amazon Employee Discount
  • Monthly Contribution & Discounts for Wellness Related Activities & Programs (e.g., gym memberships, off-site massages, etc.)
  • Breakfast, Lunch & Dinner Served Daily
  • Free Snacks & Beverages 

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.

 

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Voluntary Demographic Questions

Our mission at Twitch is to enable creators to make a living entertaining and educating their fans. We serve a diverse, global community and it's important that we have teams with a wide range of backgrounds, experiences and perspectives, in order to better serve our streamers and grow our business. All team members play a vital part in bringing our mission to life. At Twitch, we believe everyone has a role to play in creating an inclusive environment where everyone can thrive and grow.

In order to measure our effectiveness in recruiting a wide range of talent to Twitch, we invite all applicants to self-identify their gender, race and ethnicity, gender identity, sexual orientation, disability and military veteran status.  It’s our policy to provide equal employment opportunities to all applicants based solely on their qualifications. Your voluntary self-disclosures will be anonymized in reporting, and will not be used in any aspect of employment related decisions, nor shared with hiring managers. Declining to self-identify will not subject you to adverse treatment. Twitch does not discriminate on the basis of gender, gender identity or expression, sexual orientation, race/ethnicity, veteran or disability status, or any other protected group. 

Self-identification categories:

  • Gender: a person’s sex, as defined by their assigned sex at birth.
  • Gender Identity: a person's internal perception of their gender and how they label themselves (may or may not correspond to gender assigned at birth).
  • Race/Ethnicity: a person’s race (Asian, Black, Native American or Alaska Native, Native Hawaiian or Pacific Islander, White, Two or More Races) and whether they identify as Hispanic/Latinx.
  • Sexual Orientation: a person's sexual identity in relation to the gender to which they are attracted.
  • Disability: a person who has a physical or mental impairment which substantially, or occasionally, limits one or more of their major life activities.
  • Military Service: a person who has spent time serving in any branch of the military (may be retired or active).

 

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