At a Glance
- Tasks: Drive innovation in search and recommendations using cutting-edge machine learning techniques.
- Company: Join Roku, the leading TV streaming platform transforming how the world watches TV.
- Benefits: Enjoy comprehensive benefits including mental health support, flexible time off, and retirement options.
- Other info: Opportunity to mentor new engineers and shape the future of TV streaming.
- Why this job: Be part of a fast-paced, collaborative culture that values problem-solving and innovation.
- Qualifications: 8+ years of ML experience or PhD with 6 years; strong coding and big data skills required.
The predicted salary is between 48000 - 84000 £ per year.
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
Roku is the No. 1 TV streaming platform in the U.S., Canada, and Mexico with 70+ millions of active accounts. Roku pioneered streaming to the TV and continues to innovate and lead the industry. We believe Roku\'s continued success relies on its investment in our machine learning/ML recommendation engine. Roku enables our users to access millions of contents including movies, episodes, news, sports, music and channels from all around the world.
About the role
The depth of query, content and user understanding using ML is key to user happiness in their search journey. Solving this customer problem is why we\'re actively looking for a Senior Machine Learning Engineer, Search & Recommendations to drive further innovation in search and discovery. The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best of class AI powered products. Hence, communication and presentation skills are important. The role requires both high technical acumen and problem-solving abilities, motivation, and exceptional attention to detail. Every day, you\'ll look at what exists and find ways to make it better.
What you\'ll be doing
We\'re excited if you have
#LI-MS3
Our Hybrid Work Approach
Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy.
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.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to
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
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku\'s Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing
Senior Machine Learning Engineer, Search in Cambridge employer: Roku
Roku is an excellent employer, offering a dynamic work environment in Cambridge that fosters collaboration and innovation. With a strong emphasis on work-life balance and comprehensive health benefits, employees are encouraged to grow their skills while contributing to the development of cutting-edge technology. The hybrid work model allows for flexibility, making it an attractive place for those seeking meaningful and rewarding employment.
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We think this is how you could land Senior Machine Learning Engineer, Search in Cambridge
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We think you need these skills to ace Senior Machine Learning Engineer, Search in Cambridge
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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