Job Specifications
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 Advanced Development team at Roku pushes beyond today’s product lines to invent the next generation of intelligent and generative media systems.
We explore ideas that sit years ahead of production, developing foundational technologies that will redefine how content is understood, created, and personalised across millions of Roku devices.
This is a rare environment — a PhD-level, cross-disciplinary group combining machine learning research, software engineering, and DevOps.
Everyone here is an expert, but not narrowly focused. The team blends deep technical mastery with broad creative vision — people who challenge convention, embrace ambiguity, and build what’s never been built before. It’s a collaborative, low-ego, ownership-driven culture built on trust and curiosity.
We’re seeking an Applied Scientist with a strong foundation in mathematics, machine learning, and computer science, combined with experience in cloud engineering, DevOps, and computer vision — someone who thrives where research meets production.
About the Role
As a Senior Applied Machine Learning Engineer, you’ll help design, build, and deploy the systems that make media smarter.
You’ll work across the full model and software lifecycle, from prototype to production, developing scalable ML pipelines and cloud architectures that power generative AI, intelligent media understanding, content analysis, and advertising intelligence.
You’ll operate at the intersection of machine learning, infrastructure, and software engineering, taking ownership from data collection through deployment — and seeing your work directly influence how audiences experience Roku’s content and advertising ecosystem.
What You’ll Be Doing
Deploying scalable, fault-tolerant computer vision, media understanding, and generative AI systems to production
Overseeing the full model development cycle: ideation, prototyping, implementation, deployment, testing, and operations
Designing uncertainty metrics and communicating results to both technical and non-technical stakeholders
Gathering and compiling datasets, defining annotation ontologies, auditing annotation operations, and ensuring data quality
Staying up to date with industry and academic trends in computer vision, machine learning, and generative models for media and advertising
Working closely with product and other engineering teams to implement new content and advertising experiences through cloud services
Integrating services from other teams around the company, while also providing reusable ML services to others
Evaluating and providing feedback on new platform technologies provided by internal teams
Working with QA teams to address bugs and contribute to automation and quality assurance
We’re Excited If You Have
A Master’s degree (PhD preferred) in Computer Science, Applied Mathematics, or a related field
Strong background developing applied machine learning systems using PyTorch or TensorFlow
Expertise in image processing, computer vision, or natural language processing
Experience using AWS, GCP, or Azure for storing data, training, and serving models
Proven ability to evaluate models and communicate insights effectively
Experience building APIs with frameworks such as GraphQL or REST
Experience with workflow orchestration tools such as Airflow, Argo, AWS Step Functions, or Metaflow
Hands-on experience with Docker, Kubernetes, Terraform, CloudFormation, CI/CD automation, and Python build or packaging tools
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
Benefits
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthca
About the Company
With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV.
Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximat...
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