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# Senior Software Engineer, Machine Learning

- **Company:** Roku, Inc.
- **Location:** New York, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $195,000
- **Contract:** Permanent contract
- **Skills:** Artificial Neural Networks, Distributed Systems, Machine Learning, Recommender Systems, Software Engineering, Systems Architecture, Reinforcement Learning, Generative AI, Information Technology, Data Pipelines
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25304_4dc0bdfa75fc1802a7e51f5d729d256a

## About the Role

* 5+ years of experience in applying Machine Learning to concrete problems at a large scale. Recommendation domain is a plus
 * Strong CS fundamentals and software engineering skills. Should be able to design/write an efficient algorithm with ease
 * Deep understanding of statistics learning and ML fundamentals - Regression, Classification, Tree-based approach, Neural network, sequence-based models, reinforcement learning
 * Deep experience with system architecture, especially for serving ML models. And extensive experience in distributed computing, data pipelines, etc.
 * Bachelor's/Master's in Computer Science or related area, Ph.D. in ML will be a plus
 * Bonus point: You deploy Gen AI in production

## Description

We seek an outstanding, creative, and passionate Senior Machine Learning Engineer to join Roku's Recommendation Team. You will be responsible for building and owning the next generation of content recommendations/understanding/generation models/systems that will make the experience for our many millions of Roku users better., * Apply state-of-the-art ML models, including and not limited to: transformer-based sequential models, collaborative filtering models, session-based models, reinforcement learning models, diffusion models

 * Run online AB tests and analyze them to optimize critical business KPIs
 * Collaborate across Product and Engineering 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