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Senior Software Engineer, Machine Learning

Roku

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placeCambridge home_workHybride label001- PIPELINE publicOffre agrégée · GB

eventPubliée le 24 sept. 2026 · verifiedNous avons confirmé le 25 sept. 2026 qu'elle est toujours active

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À propos de l'offre

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

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers,

Publishers

and Roku. The systems and solutions span across different disciplines and technologies to perform

realtime

multi- objective

optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization

Systems

and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning , Experimentation

and Inference Platform that powers the entire landscape

which we continuously evolve over time.

About the role

In this role you will

work on applying SOTA research

and

conduct your own research

to

develop novel methodologies to

solve a

large variety

of challenging

problems

in

Advertising

related to conversion modeling

aligned with attribution methodologies/models,

calibration,

dynamic creative generation and optimization,

forecasting and timeseries modeling,

yield and margin optimization

and Experimentation

for A/B and multivariate testing.

We’re

looking for a strong technical leader with

a solid grasp of core statistical techniques and

deep experience in

SOTA Deep Learning

discriminative

and generative models.

What you will be doing

Applying existing and conducting your own research to build SOTA Deep learning discriminative models and build generative models to create image and video ads geared towards optimizing performance. Stay at the forefront of advancements in related areas.

We're excited if you have PhD in quantitative disciplines such as CS, Statistics, Applied Math or a related field. Extensive experience in applied research using statistical and deep learning techniques. Published paper(s) on deep learning models for Advertising or related areas. Excellent communication and collaboration skills.

Experience in the Advertising domain (preferred) Contributions to open-source ML projects (preferred) 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

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 Find more English Spe

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