Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the US, 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.
Our Voice and Edge Machine Learning team at Roku works on embedded machine learning models for new products. The team covers a range of skillsets from embedded firmware development and machine learning to quality assurance and data engineering. We build, deploy and maintain embedded machine learning models to enhance the user experience across our hardware products. We frequently work on new product launches to deliver cutting edge new features such as handsfree voice control on our voice remote pro.
We are seeking for an experienced Senior Software Engineer with a focus on machine learning model development for embedded devices (also know as EdgeML). This is a senior role with a high-level of visibility. The ideal candidate will have a proven track record of successfully developing software for new platforms from prototype to mass production.
You will be responsible for developing machine learning models for deployment on our new hardware products. You should have experience building data pipelines for machine learning model training, testing, and validation. You should also have experience with the optimisation of machine learning models to meet performance, memory, and power constraints using techniques such as: quantisation, pruning, and sparsity. You should also have familiarity with specialized hardware for embedded machine learning such as neural processing units (NPUs).
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.
The Roku Culture
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company’s success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We’re independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you’ll be part of a company that’s changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn’t real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we’ve grown, visit https://www.weareroku.com/factsheet.
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