Software Engineer Intern, Machine Learning

Posted 14 Hours Ago
Be an Early Applicant
Cambridge, Cambridgeshire, England
Internship
News + Entertainment
The Role
In this internship, you will work with the Recommendations team to enhance personalized content recommendations using machine learning and large language models. The role includes evaluating project outcomes through A/B testing and contributing to increased user engagement and monetization for Roku.
Summary Generated by Built In
Teamwork makes the stream work.Roku is changing how the world watches TV

Roku is the #1 TV streaming platform in the US 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 Recommendations team at Roku drives the content discovery experience for Roku users. As the #1 TV OS in North America, Roku reaches over 80 million households, meaning any feature you develop or enhance has a significant impact. We work with an extensive catalog of content, spanning thousands of streaming providers, as well as Live TV and sports. Our mission is to personalize every aspect of the user experience, fostering greater user satisfaction while driving company growth. 


What you will do in this role:

  • Utilize large language models and deep learning for personalized content recommendations.
  • Aim to increase user engagement, retention, and Roku monetization.
  • Evaluate project outcomes through A/B experimentation.


We’re excited if you have

  • Master’s or PhD in Computer Science or related field
  • Practical experience in one or more of the following areas: natural language processing, machine learning, and LLM
  • Ability to thrive as a self-driven employee who can follow tasks from conception to production
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.

By providing your information, you acknowledge that you have read our Applicant Privacy Notice and authorize Roku to process your data subject to those terms.

Top Skills

Deep Learning
Machine Learning
Natural Language Processing
The Company
HQ: San Jose, CA
2,724 Employees
On-site Workplace
Year Founded: 2002

What We Do

Roku pioneered streaming to the TV. We connect users to the streaming content they love, enable content publishers to build and monetize large audiences, and provide advertisers with unique capabilities to engage consumers. Roku streaming players and Roku TV™ models are available around the world through direct retail sales and licensing arrangements with TV OEMs and service operators.

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