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Roku

Senior Engineering Manager - Machine Learning

Job · Full-timeIn OfficeBengaluruEntry level / 0-2 years1 opening

About this role

Roku is hiring for Senior Engineering Manager - Machine Learning in Bengaluru. This opening was published by Roku on their official greenhouse careers board on 22 May 2026 and was verified as still open on 17 September 2026. About the role Teamwork makes the stream work. What you'll do day to…

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Skills you'll use

Machine LearningDeep LearningTeamworkStatisticsSparkAirflowTensorFlowPyTorchLLMGenerative AISystem DesignCompensation

What you'll do

  • 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

Who can apply

  • Balance long-term research investments with near-term production improvements across multiple concurrent workstreams
  • 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

About Roku

About Roku This is the jump-off point to learn about working at Roku, including our employees, the Roku culture, our office locations around the world, and student internship opportunities. Roku, jobs, careers, internship, streaming, TV, engineering Join us at the leading edge of technology and…
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