
About Roku
Affordable streaming for all your favorite shows
Key Highlights
- Over 100 million active accounts worldwide
- Acquired Quibi's library for original content
- $247.8 million raised in Series H funding
- Headquartered in San Jose, CA with 1001+ employees
Roku, headquartered in San Jose, CA, is a leading streaming platform that provides users with access to a wide array of TV channels, movies, and third-party streaming services. With over 100 million active accounts, Roku has raised $247.8 million in funding and continues to innovate in the B2C enter...
🎁 Benefits
Roku offers comprehensive medical, wellness, and financial benefits, along with an unlimited paid time off policy and flexible work-from-home opportun...
🌟 Culture
Roku's culture emphasizes innovation in streaming technology, integrating multiple services into one platform. The company values data-driven recommen...

Senior Software Engineer, Machine Learning
Roku • Austin, Texas
Skills & Technologies
Overview
Roku is seeking a Senior Machine Learning Engineer to join their Voice team, responsible for building a world-class voice system used by millions. You'll work with technologies such as machine learning and natural language understanding in Austin, Texas.
Job Description
Who you are
You have a strong background in machine learning and artificial intelligence, with experience in natural language understanding and automated speech recognition. You thrive in collaborative environments and are eager to contribute to innovative projects that enhance user experiences. Your expertise in building large-scale production systems sets you apart, and you are passionate about leveraging technology to solve complex problems.
You possess a deep understanding of conversational systems and how they can be optimized for user engagement. Your ability to analyze data and derive insights will help drive the development of cutting-edge voice technologies. You are a proactive team player who enjoys working with cross-functional teams to deliver impactful solutions.
Desirable
Experience with cloud platforms and tools that support machine learning workflows is a plus. Familiarity with voice recognition technologies and their applications in consumer products will enhance your contributions to the team. You are open to learning new technologies and methodologies that can improve the voice experience for users.
What you'll do
As a Senior Machine Learning Engineer at Roku, you will play a pivotal role in developing and enhancing the Roku Voice product. You will collaborate with a talented team to design and implement machine learning models that improve voice recognition and natural language processing capabilities. Your work will directly impact how millions of users interact with their TVs, making their streaming experience more intuitive and enjoyable.
You will be responsible for building and optimizing machine learning pipelines, ensuring that they are scalable and efficient. Your expertise will guide the team in selecting the right algorithms and techniques to achieve the best results. You will also conduct experiments to validate model performance and iterate on designs based on user feedback and data analysis.
In addition to technical contributions, you will mentor junior engineers, sharing your knowledge and fostering a culture of learning within the team. You will participate in code reviews and contribute to the overall architecture of the voice system, ensuring that it meets high standards of quality and performance.
What we offer
At Roku, you will be part of a fast-growing public company that values innovation and teamwork. We offer a dynamic work environment where your contributions are recognized and rewarded. You will have the opportunity to work on projects that have a significant impact on the way people consume media.
We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to revolutionize the TV streaming experience and make a difference in the lives of millions of users around the world.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Roku.