Applied Scientist - Commerce

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What Twitch is looking for in applicants

About Us

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 Role

Twitch Commerce helps communities grow by enabling viewers to support creators through patronage. We take pride in our mission to help streamers build communities and earn a living doing what they love. The scale and diversity of users, transactions, social interactions and communities presents an exciting opportunity to use our data to personalize experiences for our users.

The Commerce ML team builds and operates the ML models underpinning Twitch Commerce. For example, we work with our product teams to create production models that protect our business and users from fraud, and strengthen communities by distributing gift subscriptions where they matter most.

As an Applied Scientist on the Commerce ML team, you will build solutions and experiments at scale. Twitch data is unique-- granular structured event data, graphs of user interactions, raw live video, and chat. Using it to make a difference for our customers is a rewarding technical challenge leading to immediate monetary impact for creators and for Twitch. This is a green-field territory that combines science leadership, technical strength, and product empathy. Come join us!

You Will:

  • Design, prototype and implement Machine Learning (ML) algorithms and experiments
  • Pose hypotheses and test them in live systems to inform opportunities for impact
  • Develop the production data pipelines and ML pipelines on which those algorithms operate
  • Work with investigators, analysts, product managers and engineers to turn ever-evolving research about our users into automated services
  • Continuously experiment with new techniques in order to keep pushing the boundaries of what is possible to keep our communities growing on Twitch
  • Contribute to the applied science community at Twitch by sharing techniques, research, and tools
  • Mentor junior scientists and ML engineers

You Have:

  • Masters, PhD, or equivalent experience in a quantitative field such as mathematics, statistics, computer science, econometrics, or biostatistics, or equivalent hands-on experience. We welcome applicants with non-conventional backgrounds
  • 3+ years of experience building data solutions or machine learning products
  • Experience developing algorithms on top of data pipelines that scale
  • Experience writing production quality code on top of a production software toolkit (AWS)
  • Experience applying machine learning to behavioral domains such as fraud, marketing optimization, personalized offers, recommendations


  • 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 

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, gender identity, sexual orientation, age, marital status, veteran status, or disability status, or other legally protected status.

Job ID: TW6509

Want some tips on how to get an interview at Twitch?

What is Twitch looking for?
If this role looks interesting to you, a great first step is to understand what excites you about the team, product or mission. Take your time thinking about this and then tell the team! Get in touch and communicate that passion.
What are interviews for Applied Scientist - Commerce like?
Interview processes vary by company, role and team. The best plan is to see what others have experienced and then plan accordingly.
How to land an interview at Applied Scientist - Commerce?
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