Software Engineer, Twitch
Monetization ML
$127.1-185k
+ Restricted stock units (RSUs)
Gaming-focused livestream platform
Open for applications
Gaming-focused livestream platform
1001+ employees
Open for applications
$127.1-185k
+ Restricted stock units (RSUs)
1001+ employees
Company mission
To empower live communities on the internet.
Role
Who you are
- 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
- Bachelor's degree in Computer Science, Engineering, or equivalent real-world experience
Desirable
- 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
What the job involves
- 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 San Francisco, CA and Seattle, WA
- 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
Our take
Twitch is the world's leading video platform for gamers, allowing users to livestream gaming sessions and curate a dedicated community for their content. By dedicating the platform to gaming alone, it has amassed a loyal following of fans, and been able to launch its Partner Program where streamers can monetize their livestreams, incorporate corporate partnerships, and even attend TwitchCon, a convention where dedicated gamers can socialize.
Twitch's acquisition by Amazon in 2014 saw its viewers double in a year, bringing the platform to a wider audience. However, with YouTube streaming popularity on the rise, it has big competition to contend with, as some popular streamers prefer going live on the video giant. Interestingly, a recent move by the platform was to enable its partner streamers to make live content on other platforms - previously inhibited by its exclusivity clause - which may combat the possibility of losing streamers permanently to YouTube.
In 2022, Twitch had to contend with backlash for its proposal to cut creator income by reducing their cut of subscription earnings. However, with the plan only affecting a minute number of creators, the controversy appears to have died down. Needless to say, Twitch is for now entirely comfortable in the market - with possible plans to extend past gaming bringing the chance to generate more popularity yet.
Steph
Company Specialist at Welcome to the Jungle
Insights
4% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Sep 2013
$20m
SERIES C
Sep 2012
$15m
SERIES B
Total funding: $43.2m
Company HQ
Belden Place, San Francisco, CA
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