Senior Software Engineer, Machine Learning

Roku • San Jose, CA

3d • $195,000 - $465,000 • Hybrid

About The Position

We seek an outstanding, creative, and passionate Senior Machine Learning Engineer to join Roku's Recommendation Team. You will be responsible for building and owning the next generation of content recommendations/understanding/generation models/systems that will make the experience for our many millions of Roku users better.

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.
• Bachelor's/Master's in Computer Science or related area, Ph.D. in ML will be a plus

Nice To Haves

• 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

Benefits

• health insurance
• equity awards
• life insurance
• disability benefits
• parental leave
• wellness benefits
• paid time off
• global access to mental health and financial wellness support and resources.
• Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension).

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level