Software Engineer, Monetization ML

DESCRIPTION

If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/

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

Join the Monetization ML team within Twitch's Commerce organization, where we're building the intelligent systems that power personalized experiences for creators and viewers across all monetization products. We are the team behind the ML infrastructure for ads, commerce, and money products – systems that optimize revenue and detect fraud while serving millions of users in real-time.

From production model infrastructure to API integrations across services, we're constantly pushing the boundaries of what's possible in live streaming monetization.

Our team are based in Seattle, WA and New York City, NY

You Will

• Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitch's ecosystem

• Architect and develop APIs that seamlessly integrate ML models with existing monetization services, enabling real-time and batch predictions at scale

• Collaborate with Applied Scientists to productionize ML models, transforming research into production-ready systems that serve millions of users

• Partner with product engineering teams across monetization to deliver ML-powered features that enhance creator and viewer experiences

• Design and implement comprehensive monitoring and operational excellence systems for ML model performance, ensuring reliability and quality at scale

• Develop data ingestion and processing pipelines that support both real-time inference and batch training workflows

• Explore and build infrastructure for emerging use cases including LLM applications in monetization contexts

Perks

• Medical, Dental, Vision & Disability Insurance

• 401(k)

• Maternity & Parental Leave

• Flexible PTO

• Amazon Employee Discount

BASIC QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, or a related field

• 1+ years of professional software development experience with a focus on building scalable systems

• Experience building production ML infrastructure, including model deployment, serving, and monitoring systems

• Proficiency in modern programming languages (Python, Java, Go) and distributed system technologies

• A track record of building APIs and integrating systems that handle high-throughput, low-latency requirements

• Understanding of data processing pipelines and experience with streaming technologies (Flink, Kafka, or similar)

• Sharp problem-solving skills with a focus on algorithms, data structures, and distributed system design

PREFERRED QUALIFICATIONS

• Familiarity with Twitch's tech stack: Golang, Python, Apache Flink, Cond

• Experience with workflow orchestration tools like Airflow or Conductor for managing ML pipelines

• Experience with AWS technologies like ECS, DynamoDB, Lambda, SQS, and Step Functions

• Knowledge of real-time ML serving systems and model deployment at scale

• Experience with fraud detection, recommendation systems, or monetization optimization

• A passion for gaming, streaming, or the Twitch platform

Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://