Engineeing Manager, Machine Learning

Roku

Bengaluru, Karnataka, IndiaLEAD

Hybrid

Job Description

Lead a team of ML engineers at Roku focused on recommendation systems.

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
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
Our Hybrid Work Approach
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.

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.
The Roku 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.
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