Senior Machine Learning Engineer, Search & Recommendations

About Roku

Role overview

Responsibilities

• Apply state-of-the-art machine learning to search using deep learning, bandits, transformers, LLMs, causal inference, and optimization.
• Run online A/B tests and analyze outcomes against business KPIs.
• Translate business requirements into technical specifications with US engineering and cross-functional teams.
• Improve the ML ecosystem for scale, developer velocity, and future needs.
• Lead technical and ML roadmaps for search ranking and monetization.
• Help recruit, interview, train, and mentor engineers.

Qualifications

• 8+ years applying machine learning to large-scale recommendation, search, or advertising problems, or a PhD with 6 years of experience.
• Strong CS fundamentals and ability to convert ideas to code.
• Understanding of classification, deep neural networks, and sequence-based models.
• Experience with big data systems such as Spark, S3, and Airflow is sought; programming in Java, Scala, or Python.
• Understanding of system architecture, big data technologies, streaming architecture, and data pipelines.
• Demonstrated AI/agentic-tooling fluency and examples of shipped work using these tools.
• MS in Computer Science, Statistics, or related field; PhD in CS or related fields preferred.
• Modern NLP and multimodal representation learning familiarity is a plus.

Hybrid working

• Teams generally work in the office Monday through Thursday.
• Fridays are generally flexible for remote work, except where a role or assigned office requires five-day attendance.

Benefits

• Benefits may include healthcare, life, accident, disability, commuter, and retirement options, plus mental health and financial wellness support.
• Availability varies by location and role; local leave policies apply.