Senior Software Engineer, Machine Learning

Roku • Austin, TX

50d

About The Position

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 The Roku Voice team is responsible for Roku's Voice product, which is used by millions of Roku users. We allow our users to easily and effortlessly control their TV, find content to stream, and more, all through the power of their voice. We deliver this engaging and delightful experience to our users through state-of-the-art technologies and platforms. About the Role Roku is building a world-class voice system that is used by millions of Roku users. The Roku Voice team is looking for ambitious, experienced machine learning engineers with a background in one or more of the following areas: artificial intelligence, natural language understanding, machine learning, automated speech recognition, conversational systems, and building large-scale production systems. You have a once-in-a-lifetime opportunity to contribute to building the very core of the Roku Voice product and be part of a world-class team.

Requirements

• 5+ years of machine learning experience
• Experience working with big data systems (Spark, EMR, S3, Airflow) and programming languages (Java or Python, or C++)
• Good understanding of machine learning fundamentals like regression, classification, ranking, neural networks, and sequence models for text/speech
• Hands-on experience in building challenging production systems
• Strong CS fundamentals, with the ability to write algorithms with ease
• Familiarity and experience deploying and maintaining machine learning models (transformer-based models in production is a plus), including identifying the right KPIs and objective functions
• Bachelor's Degree required

Nice To Haves

• Experience with advanced machine learning techniques, including LLM and generative AI
• Experience building in-production NLU and/or ASR systems

Responsibilities

• Design and develop software and algorithms for Roku’s state-of-the-art voice system
• Design and develop software components for high-availability and high-performance cloud solutions
• End-to-end responsibility from developing a proof of concept to production
• Have a strong programming background with a lot of hands-on experience in building large-scale production systems
• Strong algorithmic background and like intellectual challenges and solving complex problems
• Working across teams and pulling in the best talent from the organization to achieve your goals
• Contribute with new ideas and evaluate multiple solutions with your peers before settling down on specific solutions
• You are self-driven, willing, and able to take complete ownership of initiatives and make pragmatic technical decisions

Benefits

• Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families.
• Our comprehensive benefits include 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).
• Our employees can take time off work for vacation and other personal reasons to balance their evolving work and life needs.
• It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.

What This Job Offers

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