Roku is looking to power every television in the world by improving the TV streaming experience through advanced machine learning models for content recommendation, understanding, and generation. The goal is to connect consumers to the content they love and enable content publishers and advertisers to engage effectively.
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
- Hybrid work approach: Teams work in the office Monday through Thursday. Fridays are flexible for remote work
- Eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off
