Posted 11 June, 2026
Sr SW Engineer, Machine Learning
Roku
Bengaluru, India
Full Time
Reference: 102_755645_7992122
About the team
Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV models are available worldwide through direct retail sales and licensing arrangements with TV brands and pay-TV operators.
About the role
We seek an outstanding, creative, and passionate Machine Learning engineer to join Roku's Recommendation team. You will be responsible for building and owning the next generation of content recommendations and other algorithms/systems that will make the experience for our many millions of Roku users 100% personalized and unique.
What you'll be doing
- Apply state of the art ML on recommendations using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform
- Run online AB tests and analyze them against the critical business KPIs
- Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications
- Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts
- Help in training and mentoring new team members
We're excited if you have
5+ years of experience applying Machine Learning to concrete problems at large scale.
Strong CS fundamentals. Should be able to write an algorithm with ease.
Solid understanding of Data Science and ML fundamentals - Regression, Classification, Tree-based approach, Neural network, and sequence-based models.
Understanding of NLP approaches like W2V or Bert. Should be able to identify the right KPIs and Objective functions.
Good understanding of system architecture.
Have experience in big data technologies - streaming architecture, data pipelines, etc.
Bachelors in Computer Science, Statistics, or related field
Strong CS fundamentals. Should be able to write an algorithm with ease.
Solid understanding of Data Science and ML fundamentals - Regression, Classification, Tree-based approach, Neural network, and sequence-based models.
Understanding of NLP approaches like W2V or Bert. Should be able to identify the right KPIs and Objective functions.
Good understanding of system architecture.
Have experience in big data technologies - streaming architecture, data pipelines, etc.
Bachelors in Computer Science, Statistics, or related field
Preferred Skills
Build Recommender Systems for a living
Experience with Java, Scala, or Python
Work with big data systems - Spark, EMR, S3, AirFlow
Hold an MS or PhD in CS or related fields
AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
Experience with Java, Scala, or Python
Work with big data systems - Spark, EMR, S3, AirFlow
Hold an MS or PhD in CS or related fields
AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it.
