You can also save this posting or score it againstyour profile with AI.## About the roleThe role involves applying advanced machine learning techniques to optimize search and discovery features while collaborating with cross-functional teams to translate business requirements into technical specifications. Additionally, the engineer will nurture the ML ecosystem, run online AB tests, and mentor team members to drive the technical roadmap.## RequirementsCandidates must have 8+ years of experience applying machine learning to large-scale problems in search, recommendations, or ads, along with strong CS fundamentals. A Master's degree in Computer Science or a related field is required, with a Ph.D. preferred, and demonstrated fluency in AI/agentic tooling.## 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.We're a fast-growing public company where no one is a bystander. Canada, and Mexico with 70+ million active accounts. The depth of query, content, and user understanding using ML is key to user happiness on the search and discovery journey, and this team owns the models that power it across the Roku platform.The depth of query, content and user understanding using ML is key to user happiness in their search journey.

Solving this customer problem is why we're actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-of-class AI-powered products. The role requires both high technical acumen and problem-solving abilities,



motivation, and exceptional attention to detail.

At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact.We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks - and 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.

Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimisations to make our users more delighted and engaged on the platform Run online AB tests and analyse them against the critical business KPIs* Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications* Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts* Provide technical leadership to drive technical and ML roadmap for search ranking and monetisation* Help in recruiting new engineers. Interview, train,



and mentor new team members* 8+ years of experience (or PhD with 6 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads* Strong CS fundamentals. Should be able to convert ideas to code with ease* Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models.

Familiarity with modern NLP stack and multi-modal representation learning is a plus* We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python) Good understanding of system architecture. Have experience in big data technologies and streaming architecture, data pipelines, etc.

Demonstrated AI/agentic-tooling fluency per the section above* MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for work from home, except for employees whose specific roles or assigned office location require five days' a week attendance.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.

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.

📌 Senior Remote Machine Learning Engineer (Winnipeg)
🏢 Jobcubby
📍 Winnipeg