Roku

Technology

SeniorMachineLearningEngineer,DevOps/SRE

$175–250k ~AI est. San Jose, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Machine Learning Engineer, DevOps/SRE at Roku. Skills: MLOps, DevOps, SRE, Machine Learning. Lead design and operation of cloud infrastructure. Architect and improve CI/CD systems”

Industry & Context.

Technology
Problems you'll solve

Root-cause analysis

Eligibility Requirements

On-call rotation

What They're Looking For.

Must Have

BS or MS in Computer Science, 8+ years of experience in DevOps, SRE, or ML infrastructure, 4+ years supporting large-scale ML or AI systems, Programming skills in Python and/or Scala or Java, Deep experience with Kubernetes, Experience with GCP (GKE) and/or AWS (EKS), Expertise with NoSQL or low-latency data stores, Hands-on experience with Apache Spark, Apache Flink, Apache Airflow, and Kafka, Experience building and maintaining CI/CD systems, Infrastructure-as-code experience with Terraform

Nice to Have

Experience in the Advertising domain

What You'll Do.

Lead design and operation of cloud infrastructure

Architect and improve CI/CD systems

Own and evolve low-latency infrastructure

Define and enforce observability standards

Participate in on-call rotation

Lead incident response

Partner with data scientists and ML engineers

Improve platform usability

Accelerate model iteration

Implement MLOps and SRE best practices

Champion operational excellence

Automate ML infrastructure

How You'll Work.

Team & Collaboration

Cross-functional collaboration; Partner with ML Scientists; Partner with ML Engineers

Full Job Description

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers, and Roku. The systems and solutions span multiple disciplines and technologies to perform real-time multi-objective optimization across distributed systems at large scale and with low latency. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems, and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation, and Inference Platform, which powers the entire landscape, and we continuously evolve. About the role We are seeking a talented and experienced Senior Software Engineer, MLOps/DevOps, to join the Advertising Performance team and play a critical role in supporting and scaling our Machine Learning infrastructure. The ideal candidate has a strong background in DevOps/SRE practices, cloud infrastructure management, and MLOps tooling — with a passion for building platforms that accelerate ML experimentation and deployment at internet scale. You will partner closely with ML Scientists and Engineers to streamline the end-to-end ML lifecy

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