Senior Machine Learning Engineer

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

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we're actively looking for a Senior Machine Learning / AI Engineer, Content Platform who can drive further innovation.

About the role

The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. Communication and presentation skills are essential as you'll collaborate across teams. The role requires high technical aptitude, problem-solving abilities, motivation, and exceptional attention to detail. We're always in "build mode" because we're a company of data-focused builders. Every day, you'll look at what exists and find ways to make it better.

What you'll be doing

• Building and owning the next generation of content knowledge platforms and other algorithms/systems that create high quality and unique experiences for millions of Roku users.
• Designing and implementing advanced Machine Learning models for entity matching, data deduplication, and Generative AI tasks such as content summarization. deduping and metadata quality.
• Researching and developing advanced AI algorithms, including Vision Models for visual content analysis, and enhancing the Content Knowledge Graph.
• Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging.
• Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI.
• Creating products that provide exceptional user experiences while meeting performance, security, quality, and stability requirements.

We're excited if you have

• 7+ years of experience applying Machine Learning and GenAI to concrete problems at large-scale.
• Strong CS fundamentals, with the ability to design algorithms for real-world challenges.
• Expertise in machine learning fundamentals, including deep generative models (GANs, VAEs), transformers, tree-based methods, and sequence-based models.
• Proven familiarity with NLP approaches like BERT, GPT, or related architectures, as well as Vision-based approaches like ResNet, EfficientNet, or CLIP.
• Experience in big data systems (e.g., Spark, EMR, Kafka, S3, Flink, AirFlow) and programming (Java, Scala, or Python).
• A track record of building in-production Machine Learning systems, including deploying Generative AI and Vision Model-based pipelines.
• Knowledge of system architecture and experience with big data technologies (e.g., streaming architectures, scalable data pipelines).
• An understanding of state-of-the-art Vision Models for tasks such as image classification, object detection, and multimodal learning.
• MS in Computer Science, Statistics, or a related field is required; a Ph.D. in CS or related fields is preferred.

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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 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. It's 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.

The Roku Culture

Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's 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. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's 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 isn't 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.

To learn more about Roku, our global footprint, and how we've grown, visit

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