Software Engineer, ML Products

Twitch

📍San Francisco, CA
💰 $99,500 - $200,000
Posted May 21, 2026

Job Overview

Position

Software Engineer, ML Products

Company

Twitch

Location

San Francisco, CA

Work Type

On-site

Salary Range

$99,500 - $200,000

Job ID

li-4303760033

Job Description

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
We are seeking Software Engineers to join the ML Products team. This team is focused on matching Twitch viewers with the communities they will love. To do this, we own the systems which power recommendations, search, notifications, feed, and onboarding. As a member of our team, you'll work to improve these products, invest in new ones, and make Twitch discovery better for both viewers and creators. You'll be part of a larger team of Software Engineers and partner with Product Managers, Applied Scientists, and other engineering teams across the company.

This role is based in San Francisco, CA.

You Will:

  • Maintain and improve the systems which power discovery on Twitch

  • Partner with Applied Scientists to improve ML models that match interested viewers with relevant creators

  • Collaborate with Product Managers to build, experiment, and roll out new Twitch discovery experiences

You Have:

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

  • 1+ years of experience delivering high quality software in a production environment

  • Proficient coding skills in modern languages and frameworks

  • Familiarity with scalability, concurrency, API design, data modeling, and distributed systems fundamentals

  • Willingness to try new things and collaborate with a diverse group of people

Bonus Points

  • Experience with AWS technologies (such as S3, ECS, Lambda, DynamoDB, Redis, SQS, Flink, OpenSearch, and Sagemaker)

  • Experience writing Go in production systems

  • Experience with recommendations, search, or notification systems

  • Experience building and maintaining ML systems in production environments

  • Familiarity with Twitch and/or streaming on Twitch

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: TW8946

*Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from our lowest geographic market up to our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. This position will remain open until filled. For more information, please visit https://www.twitch.tv/jobs/en/#learn-more. Applicants should apply via our internal or external career site.*
US Pay Per Year

$99,500—$200,000 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.*

Interview Prep

AI-powered insights to help you prepare

Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you design an API to serve personalized creator recommendations to the Twitch homepage, ensuring it can handle high concurrency during peak streaming hours?
  • 2.When collaborating with Applied Scientists to deploy a new recommendation model, how do you bridge the gap between offline model training and production deployment?
  • 3.Twitch's discovery systems rely on real-time user interactions. How would you design a data pipeline to process live viewer engagement data and update search or notification systems with minimal latency?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to collaborate with scientists, product managers, or other non-engineering stakeholders to ship a complex feature.
  • 2.Describe a situation where you had to try something completely new or step outside your comfort zone to solve a technical problem.
  • 3.Give me an example of a time you improved the scalability or reliability of a system in a production environment.
🧩Situational Questions (2)
  • 1.You are rolling out a new ML-powered notification system meant to match viewers with creators they love. Shortly after deployment, the system starts sending irrelevant spam notifications, and user complaints spike. How do you handle this?
  • 2.A Product Manager wants to launch a new discovery feed feature, but the Applied Scientist warns that the current ML model won't scale to the required latency for real-time rendering. How do you resolve this conflict?

Resume Keywords

Make sure these keywords appear on your resume

Machine Learning SystemsRecommendationsDistributed SystemsGoAWSScalabilityAPI DesignSearchNotificationsData ModelingConcurrencyA/B Testing

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