Senior Software Engineer, Machine Learning

Roku•San Jose, CA

4d•$195,000 - $465,000•Hybrid

About The Position

Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team Our world-class Recommendation Team has been innovating in developing ML models in multiple areas, including content recommendation, content generation, content understanding, revenue/gross profit optimization, and much more. Both the scope and impact of Recommendations at Roku are massive as we personalized Home Screen, Destinations, EPG, and all other consumer-facing surfaces. Our Recommendation Team has a culture of collaboration and innovation (we have filed 30+ patents). About the Role 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. For California Only - The estimated annual salary for this position is between $195,000 and $465,000 annually. Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location. This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

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
healthcare (medical, dental, and vision)
life, accident, disability, commuter, and retirement options (401(k)/pension)
employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs