Senior Engineering Manager - Machine Learning
Bengaluru · Staff/Principal
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MEDIUM
Roku is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.
First 72 hours
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Reposted role
This role was posted earlier, closed, and has now reopened - the company is accepting candidates again.
First posted Feb 24, 2026
Skills required
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Job description
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?
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 Engineering Manager, Content Platform who can drive further innovation.
What is the role?
Roku is seeking a Senior Machine Learning / AI Engineering Manager, Content Platform to lead and advance machine learning capabilities within the Content Platform organization. This role is responsible for defining the ML roadmap, guiding model architecture and MLOps infrastructure, and ensuring that ML systems are scalable and production-ready. The Senior ML / AI Engineering Manager will lead a high-performing team of ML Engineers, driving career development, performance management, and a culture of rigorous experimentation. This individual will partner cross-functionally with Product, Engineering, and Content Strategy to align ML initiatives with business goals and deliver measurable improvements to the production environment. The ideal candidate combines deep technical ML expertise with strong organizational leadership, serving as the architectural and operational bridge between AI research and fast-paced product delivery. This role also involves integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement across the Roku ecosystem.
How will I use AI at Roku?
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.
What are the responsibilities of the role?
- 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
What experience would help someone be successful in this role at Roku?
- 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
#LN-DS4
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 [email protected].
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.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing [email protected].
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