Overview

We are looking for an Engineering Manager, Machine Learning to lead a team of ML engineers focused on recommendation systems.

Responsibilities

• We are looking for an Engineering Manager, Machine Learning to lead a team of ML engineers in Bengaluru focused on recommendation systems. This is a leadership role — you will set technical direction, design systems, mentor engineers, and drive delivery of ML solutions that directly impact user engagement, retention, and Roku's revenue growth. The ideal candidate brings deep
• understanding of and passion for consumer-facing ML products, and is ready to multiply their impact through a team.
• Lead, mentor, and grow a team of ML engineers; foster a culture of technical excellence, ownership, and collaboration
• Set the technical roadmap, aligning priorities across the team and within the broader Recommendations organization
• Drive system design and architecture decisions for ML models powering content ranking, user modeling, multi-objective optimization, and personalization across Roku's key surfaces
• Provide technical leadership on model architecture choices, training and serving infrastructure, and evaluation methodologies
• Own the A/B experimentation and measurement strategy for your team's surfaces; ensure ML work is tied to measurable product and business outcomes
• Champion the adoption of generative AI to push the boundaries of recommendation and personalization
• Partner with Product, Engineering, and cross-functional stakeholders to translate business goals into ML solutions
• Recruit and develop ML talent in Bengaluru; establish strong engineering practices and a high hiring bar
• Balance long-term research investments with near-term production improvements across multiple concurrent workstreams

Qualifications

• 10+ years of experience in machine learning engineering, with a strong track record of shipping models to production in consumer-facing products (recommendations, search, ads, personalization, or similar domains)
• BS/MS in Computer Science, Mathematics, Statistics, or a related quantitative field; PhD is a plus
• Deep expertise in recommendation system architectures, deep neural networks, and ranking models
• Strong software engineering fundamentals and experience writing production-quality code
• Familiarity with LLM-based approaches for recommendations, content understanding, or generative personalization
• Demonstrated ability to connect ML work to measurable product and business outcomes
• 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?
• 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?
• 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 WorkforcePrivacy@Roku.com.

Nice to have

• BS/MS in Computer Science, Mathematics, or a related field

Benefits

• 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 value curious, adaptable builders who can show how they’ve used AI, agents, or automation to move faster, improve quality, and scale their impact. Strong candidates know how to frame problems, guide AI-assisted work, check the output, and learn quickly. Above all, they bring curiosity, adaptability, and sound judgment.