Roku is the #1 TV streaming platform in the U.S. Canada and Mexico and weve 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 youll make a valuable - and valued - contribution. Were 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.
The Advanced Development team at Roku pushes beyond todays 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 whats never been built before. Its a collaborative low-ego ownership-driven culture built on trust and curiosity.
Were 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.
As a Senior Applied Machine Learning Engineer youll help design build and deploy the systems that make media smarter.
Youll 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.
Youll 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 Rokus content and advertising ecosystem.
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
A Masters 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
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process please direct your inquiries to .
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.
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 healthcare (medical dental and vision) life accident disability commuter and retirement options (401(k)/pension). Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs. Its important to note that not every benefit is available in all locations or for every role. For details specific to your location please consult with your recruiter.
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the companys success rather than their own. We try to surround ourselves with people who are great at their jobs who are easy to work with and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. Were independent thinkers with big ideas who act boldly move fast and accomplish extraordinary things through collaboration and short at Roku youll be part of a company thats changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers which itself is a two-part idea. We come up with the solution but the solution isnt real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation one that has served us well since 2002.
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Required Experience:
Senior IC