ML Engineer

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.
Responsibilities:
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
Requirements:
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.
Preferred:
Build Recommended 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.

Experience
6-9 yrs