Senior Machine Learning Scientist, Creative Generation & Personalization

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’LL BE DOING

* Applying research and conducting your own research to build SOTA Deep

learning discriminative models

* Stay at the forefront of advancements in related areas

WE’RE EXCITED IF YOU HAVE

* PhD in a quantitative discipline such as CS, Statistics, Applied Math or a

related field

* 8+ years of 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

Preferred Qualifications

• * Experience in the Advertising domain
• * Contributions to open-source ML projects
• #LI-DH2
• OUR HYBRID WORK APPROACH
• 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.
• 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 [email protected]
• [[email protected]?subject=Job%20Application%20Accommodations].
• 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 [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
• [https://www.weareroku.com/roku-job-applicant-privacy-notice-for-job-applicants],
• 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
• [email protected]
• [[email protected]?subject=Unsubscribe%20Request%20].