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Senior Machine Learning Engineer, Content Platform

LocationBengaluru, India

Work modehybrid

Typefull-time

Department224 - Search & Recommendations

Company size10,000+ people

First seen1mo ago

Last seen3d ago

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 Engineer, Content Platform who can drive further innovation.

What is 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.

How will I use AI at Roku?

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 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.

What are the responsibilities of the role?

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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

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Designing and implementing advanced Machine Learning models for entity matching, data deduplication, and Generative AI tasks such as content summarization deduping and metadata quality

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Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging

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Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI

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Creating products that provide exceptional user experiences while meeting performance, security, quality, and stability requirements

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

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7+ years of experience applying Machine Learning and GenAI to solve concrete problems at large-scale

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Strong CS fundamentals, with the ability to design algorithms for real-world challenges

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Expertise in machine learning fundamentals, including deep generative models (GANs, VAEs), transformers, tree-based methods, and sequence-based models

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Proven familiarity with NLP approaches like BERT, GPT, or related architectures, as well as Vision-based approaches like ResNet, EfficientNet, or CLIP

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Experience in big data systems (e.g., Spark, EMR, Kafka, S3, Flink, Airflow) and programming (Java, Scala, or Python)

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A track record of building in-production Machine Learning systems, including deploying Generative AI and Vision Model-based pipelines

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Knowledge of system architecture and experience with big data technologies (e.g., streaming architectures, scalable data pipelines)

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An understanding of state-of-the-art Vision Models for tasks such as image classification, object detection, and multimodal learning

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MS in Computer Science, Statistics, or a related field is required; a Ph.D. in CS or related fields is preferred

#LI-AB3

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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