Senior Engineering Manager - Machine Learning

At Roku, we don’t just use AI, we work with it. 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. Ideally, 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.

Define and own the roadmap for ML within the Content Platform, establishing a multi-year vision and translating it into iterative delivery cycles

Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready

Lead and grow a high-performing team of ML Engineers, including career development, performance management, and fostering a culture of rigorous experimentation

Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals

Champion a culture of incremental delivery, balancing long-term R&D with the need to ship measurable improvements to the production environment

Integrate Generative AI capabilities and Vision Models to enrich content quality and user engagement

Drive the development of a content knowledge platform that provides insights to downstream systems such as Search, Recommendations, Ads, and Voice

15+ years of total experience in software or ML engineering, with at least 5 years in a dedicated people management leadership role

Deep theoretical and practical understanding of Machine Learning

Understanding of the streaming business and how ML directly impacts business outcomes

Ability to communicate complex model concepts to non-technical stakeholders as effectively as debating architecture with experienced engineers

Proven track record of deploying large-scale ML models into production environments

Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools)

MS or BS in Computer Science, Mathematics, or a related quantitative field

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.

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.

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.

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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