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 excellent 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 Commerce is a mission-driven organization that helps creators build communities and earn a living on Twitch through products that provide patronage to creators and recognition to patrons. The scale of users, transactions and social interactions we operate at presents an opportunity to use our data to improve experiences for our creators and patrons, invent new, personalized features, and safeguard our users and product from fraud and abuse. 

As an applied scientist on the team, you’ll have the opportunity to experiment, build and scale solutions that are unique and outstanding. Twitch’s data is unique-- granular structured event data, graphs of user interactions, as well as raw live video (CV), and chat (NLP), and using it efficiently is a rewarding technical challenge for the right person, with success leading to immediate impact to millions of creators and viewers.

Responsibilities

  • Design, prototype and implement Machine Learning (ML) algorithms for commerce-- shipping products to our users to increase creator revenue and support, and keeping bad actors out of our ecosystem.
  • Develop and improve the production data pipelines and ML pipelines on which those algorithms operate
  • Collaborate with investigators, analysts, PMs and SDEs to turn ever-evolving insights about our users into automated services.

Requirements 

  • Hands-on experience in developing algorithms on top of data pipelines that scale
  • Desire and ability to write production quality code (Python, Go, Scala) on top of a production software toolkit (AWS)
  • Effective ML scope (probability, statistics, linear algebra, optimization) and ML depth in at least one area (ex. statistical learning, deep learning, NLP, graph theory, unsupervised learning)
  • MS / Ph.D in an quantitative field

Bonus Points

  • Domain knowledge or experience working with commercial platforms, social platforms, ore two-sided markets
  • Desire to solve how incentives affect how users and bad actors operate in consumer product environment 
  • Demonstrated experience in software development environment at a large tech company.
  • You can teach us something new!

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.

Apply for this Job

* Required

  
  
When autocomplete results are available use up and down arrows to review
+ Add Another Education


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).

 

I identify my gender as



I identify my gender identity as








I consider myself a member of the LGBTQ+ community



Race and Ethnicity








Military Veteran Status




Disability Status