Sr Engineering Manager - Machine Learning
Roku · Bengaluru · onsite · Posted 41d ago
Undisclosed14–19 yrsfulltimeSourced from
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About this role
Job Summary
Responsibilities
What experience would help someone be successful in this role at Roku
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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.
Responsibilities
- 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 Rokus 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 teams 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
What experience would help someone be successful in this role at Roku
- 14+ 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)
- Experience managing an ML or software engineering team
- 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
- Experience with large-scale ML tooling and infrastructure: PyTorch/TensorFlow, Spark, Airflow, cloud-native MLOps platforms
- Experience with multi-objective optimization, reinforcement learning, or Bayesian methods in production settings
- Familiarity with LLM-based approaches for recommendations, content understanding, or generative personalization
- Demonstrated ability to connect ML work to measurable product and business outcomes
- Experience building and scaling ML teams in a distributed or multi-site setting
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
Automationneural networksMLOpsmathematicsbsapache airflowDentalDesign SystemsML modelsLarge Language Models (LLMs)Pytorchmental healthconcurrentBayesianHealthcarecloudArchitectureDeep LearningGenerative AiArtificial IntelligenceMachine Learning
About Roku
Roku
Los Gatos
US
About
Roku is a global leader in streaming technology, offering devices, smart TVs, and a digital platform that connects consumers to entertainment content. It provides tools for content publishers, advertisers, and developers to reach audiences through its ecosystem. With a focus on innovation, accessibility, and user-friendly experiences, Roku positions itself as a trusted brand in transforming how people watch television and engage with digital media.
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AdvertisingDigital MediaMedia and EntertainmentTVVideo Streaming
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