Asks for

The ad says“Linear algebra, calculus, probability, and statistics”
The ad says“Different types of machine learning (supervised, unsupervised, reinforcement, deep learning, computer vision, natural language processing such as LLM) and common algorithms”
The ad says“Different types of machine learning (supervised, unsupervised, reinforcement, deep learning, computer vision, natural language processing such as LLM) and common algorithms”
The ad says“Software engineering such as version control, testing and documentation”
The ad says“Linear algebra, calculus, probability, and statistics”
The ad says“Different types of machine learning (supervised, unsupervised, reinforcement, deep learning, computer vision, natural language processing such as LLM) and common algorithms”
The ad says“Different types of machine learning (supervised, unsupervised, reinforcement, deep learning, computer vision, natural language processing such as LLM) and common algorithms”
The ad says“Different types of machine learning (supervised, unsupervised, reinforcement, deep learning, computer vision, natural language processing such as LLM) and common algorithms”
The ad says“Programming languages like Python and Object Oriented Programming (OOP)”
The ad says“Linear algebra, calculus, probability, and statistics”
The ad says“Programming languages like Python and Object Oriented Programming (OOP)”
The ad says“Machine learning frameworks such as PyTorch and Tensorflow”
The ad says“Different types of machine learning (supervised, unsupervised, reinforcement, deep learning, computer vision, natural language processing such as LLM) and common algorithms”
The ad says“Data engineering skills such as SQL”
The ad says“Linear algebra, calculus, probability, and statistics”
The ad says“Different types of machine learning (supervised, unsupervised, reinforcement, deep learning, computer vision, natural language processing such as LLM) and common algorithms”
The ad says“Machine learning frameworks such as PyTorch and Tensorflow”
The ad says“Software engineering such as version control, testing and documentation”
The ad says“Different types of machine learning (supervised, unsupervised, reinforcement, deep learning, computer vision, natural language processing such as LLM) and common algorithms”
The ad says“Software engineering such as version control, testing and documentation”

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.

What you'll be doing

Build recommendation models for video recommendations.
Duties include building APIs to serving recommendations model online; researching and leveraging LLM on recommendations; and researching and leveraging computer vision models for image classification and video understanding.
Experiment and implement semi-automatic annotation techniques which involve minimal human supervision, for Natural Language Understanding (NLU) models, to help speed up the annotation process without sacrificing quality.
Re-train existing ML and DL models, and evaluate performance on the semi-automatically annotated data.
Provide current data annotation processes and propose ideas to improve the pipeline for NLU capabilities of the Roku Voice system.
Collaborate with the engineering and product teams to launch research ideas into a Roku product release.
Document work via internal wikis, design documents, record demos and slide presentations.

You are required to have

Master’s degree or foreign equivalent in Computer Science or related field.
2 years experience in position, as a Data Scientist, Research Engineer, Technical Lead, or related occupation.

Must have at least 1 year of prior work experience in each of the following:

Programming languages like Python and Object Oriented Programming (OOP)
Different types of machine learning (supervised, unsupervised, reinforcement, deep learning, computer vision, natural language processing such as LLM) and common algorithms
Machine learning frameworks such as PyTorch and Tensorflow
Data engineering skills such as SQL
Software engineering such as version control, testing and documentation
Linear algebra, calculus, probability, and statistics

Up to one day per week telecommuting may be permitted.

For California Only - The annual salary for this position is between $369,750 - $573,750

Compensation packages are based on factors unique to each candidate, including but not limited to skill set, certifications, and specific geographical location.

This role is eligible for health insurance, equity awards, life insurance, disability benefits, parental leave, wellness benefits, and paid time off.

#LI-DNI

What's Roku's approach to hybrid working?

Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.

What are some of the 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). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support 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 EmployeeRelations@Roku.com.

What should I know about Roku's 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 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 WorkforcePrivacy@Roku.com.