Senior Machine Learning Engineer - Advertising Engineering

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.

What does the team work on?

A reliable, privacy-safe, and scalable data foundation is critical to Roku's rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads.

What is the role?

Roku is hiring a Senior Machine Learning Engineer within the Ad Data Activation organisation to drive intelligence across advertising data systems. In this role, you will design, build, and productionise intelligent capabilities that combine agentic generative AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimisation workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams. This position sits at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. You will be responsible for building core generative AI platform features for Roku Advertising while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem.

How will I use AI at Roku?

At Roku, AI agents do most of the keystroke-level coding. Engineers act as the technical leads for those agents — setting context, planning work, verifying outputs, and recovering when the agent goes off course. If you are excited about working this way, we want to talk to you.

At Roku, we're embracing AI as a powerful tool to amplify human creativity, accelerate innovation, and deliver better results for our customers. Across teams, we're exploring how AI can enhance our work — and we're only looking for people who are curious, adaptable, and excited to grow alongside these technologies.

What are the responsibilities of the role?

• p]:inline" data-streamdown="list-item">Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence

• p]:inline" data-streamdown="list-item">Design and run experiments, measure impact, and translate results into product decisions and customer outcomes

• p]:inline" data-streamdown="list-item">Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics

• p]:inline" data-streamdown="list-item">Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks

• p]:inline" data-streamdown="list-item">Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems

• p]:inline" data-streamdown="list-item">Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity

What experience would help someone be successful in this role at Roku?

• p]:inline" data-streamdown="list-item">5+ years of experience applying ML or data science to real business problems at scale

• p]:inline" data-streamdown="list-item">Master's degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field

• p]:inline" data-streamdown="list-item">Strong computer science fundamentals and ability to design efficient algorithms and production systems

• p]:inline" data-streamdown="list-item">Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP)

• p]:inline" data-streamdown="list-item">Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems

• p]:inline" data-streamdown="list-item">Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar

• p]:inline" data-streamdown="list-item">Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.)

• p]:inline" data-streamdown="list-item">Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety)

• p]:inline" data-streamdown="list-item">Prior publications, patents, or open-source contributions

• p]:inline" data-streamdown="list-item">You have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you

#LI-JB6 What's Roku's approach to hybrid working?

Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.

What are some of the 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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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.

Accommodations

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 EmployeeRelations@Roku.com .

What should I know about Roku's 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 https://www.weareroku.com/factsheet .

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