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Software Engineer Intern, Machine Learning

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Roku

12d ago

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Cambridge

AI generated summary

  • You must have a Master's or PhD in Computer Science or related field, experience in NLP, ML, or LLM, and the ability to manage tasks from conception to production independently.
  • You will leverage deep learning and language models for content recommendations, enhance user engagement, and assess outcomes via A/B testing to drive retention and monetization.

Requirements

  • 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

Responsibilities

  • 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.

FAQs

What is the primary focus of the Software Engineer Intern, Machine Learning role at Roku?

The primary focus of this role is to utilize large language models and deep learning to create personalized content recommendations, aiming to increase user engagement, retention, and monetization for Roku.

What qualifications are preferred for this internship position?

We prefer candidates who have a Master’s or PhD in Computer Science or a related field, along with practical experience in natural language processing, machine learning, and large language models.

How does the Recommendations team impact Roku users?

The Recommendations team significantly impacts users by driving the content discovery experience for Roku users, personalizing aspects of user interaction to enhance satisfaction and promote company growth.

What kind of project evaluation methods does Roku use?

Roku evaluates project outcomes through A/B experimentation to assess the effectiveness of the features developed.

What kind of work environment can interns expect at Roku?

Interns can expect a fast-paced work environment where teamwork is emphasized and every individual is focused on the company's success rather than their own.

Are there benefits provided to interns at Roku?

Yes, Roku offers a range of benefits including mental health and financial wellness support, healthcare options, life insurance, and time off for vacation and personal reasons.

What qualities does Roku look for in a candidate for this internship?

Roku values candidates who are self-driven, able to follow tasks from conception to production, and who can thrive as independent thinkers with the ability to collaborate effectively.

Is prior experience in machine learning necessary for this internship?

While practical experience in machine learning is preferred, strong candidates are also welcome to apply if they demonstrate the ability to learn quickly and contribute to the team.

What does Roku's culture emphasize?

Roku's culture emphasizes problem-solving, collaboration, pragmatism, and the importance of delivering solutions to customers, all within a humorous and ego-free environment.

How can candidates learn more about Roku as a company?

Candidates can learn more about Roku and its growth by visiting the company factsheet at https://www.weareroku.com/factsheet.

Amazing Individuals. Unstoppable Team.

Entertainment & Media
Industry
1001-5000
Employees
2002
Founded Year

Mission & Purpose

With the #1 platform for streaming television in the U.S., Roku wants to revolutionize the way the world watches TV. Our Roku-branded TVs, Roku TV models, Smart Home system, streaming players, audio equipment, and the purpose-built operating system that powers it all can turn any home into a home theater, with seamless integration of hardware and software. Our commitment to our users extends to our brand studio, which creates innovative Roku Originals exclusively for The Roku Channel, a free channel that reaches approximately 80 million households in the U.S. and Mexico. Join us and you'll have the chance to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.