Overview
Senior Machine Learning Engineer for Roku’s Recommendations team, responsible for building and owning next-generation personalized content recommendations and related algorithms.
What you'll do
- Build and own content recommendation systems that personalize experiences for Roku users.
- Apply state-of-the-art ML methods for recommendations, including deep learning, bandits, transformers, LLMs, causal inference, and optimizations.
- Run online A/B tests and analyze results against business KPIs.
- Collaborate with engineering and cross-functional teams to translate business requirements into technical specifications.
- Nurture the ML ecosystem to support scale, developer velocity, and future business shifts.
- Train and mentor new team members.
What you'll need
- 5+ years of experience applying machine learning to concrete problems at large scale.
- Strong CS fundamentals, able to write an algorithm with ease.
- Understanding of ML fundamentals including regression, classification, tree-based approaches, neural networks, and sequence-based models.
- Understanding of NLP approaches like Word2Vec (W2V) or BERT, and ability to identify KPIs and objective functions.
- Good understanding of system architecture.
- Experience with big data technologies including streaming architecture and data pipelines.
- Bachelor’s degree in Computer Science, Statistics, or related field.
Nice to have
- Experience building recommender systems as a primary focus.
- Experience with Java, Scala, or Python.
- Experience with big data systems including Spark, EMR, S3, and Airflow.
- Hold an MS or PhD in Computer Science or related fields.
- AI literacy and curiosity, including prior exploration of GenAI.
Details
- Hybrid working: teams generally work in the office Monday through Thursday, with Fridays flexible for remote work except for roles requiring five days’ attendance.
Read the full description and apply on the company’s own careers page.
