Roku aims to power every television in the world by being the TV streaming platform that connects the entire TV ecosystem. The Senior Machine Learning Engineer role is focused on building and owning next-generation content recommendations, understanding, and generation models/systems to enhance the experience for millions of Roku users.
Requirements
- 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.
- Bonus point: You deploy Gen AI in production
Responsibilities
- 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
Other
- Bachelor's/Master's in Computer Science or related area, Ph.D. in ML will be a plus
- For New York Only - The estimated annual salary for this position is between $195,000 and $465,000 annually
- Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy
