Software Engineer I, Monetization ML

If you are interested in this position please apply on Twitchs Career sitehttps:// Us:

Twitch is the worlds 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.

Were about community inside and out. Youll find coworkers who are eager to team up collaborate and smash (or elegantly solve) problems together. Were on a quest to empower live communities so if this sounds good to you see what were up to onLinkedInand X and discover the projects were solving on ourBlog. Be sure to explore ourInterviewing Guideto learn how to ace our interview process.

About the Role

Join the Monetization ML team within Twitchs Commerce organization where were 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 were constantly pushing the boundaries of whats possible in live streaming monetization.

Our team are based in San Francisco CA and Seattle WA

You Will

Build robust ML infrastructure and platforms that power personalized monetization experiences across Twitchs 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

- Bachelors degree in Computer Science Engineering a related field or equivalent experience
- 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

- Familiarity with Twitchs 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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 for more information. If the country/region youre applying in isnt 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 CA SAN FRANCISCO - 127100.00 - 185000.00 USD annually
USA CA San Francisco - 127100.00 - 185000.00 USD annually
USA WA SEATTLE - 110500.00 - 160000.00 USD annually
USA WA Seattle - 110500.00 - 160000.00 USD annually