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HomeCompaniesRokuSenior Machine Learning Scientist, Conversion Modeling

Senior Machine Learning Scientist, Conversion Modeling

Roku · Austin, Texas · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyRoku
TitleSenior Machine Learning Scientist, Conversion Modeling
Normalized title-
Department / team225 - Advertising Engineering
LocationAustin, TX, United States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-05-28 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Roku.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Austin.Open
Department jobsActive postings in 225 - Advertising Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyRoku
Source053ee310-94c5-4b68-92b8-71a31ce39e2b
ATS providerGreenhouse

Description

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 Building generative models to generate 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 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 work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. 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] . 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 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 [email protected] .

Full job record

Job ID2baa99797871e2c56390761828b577c876d5d350
Org ID3e5d0f04-e43b-4aab-9d28-c25150415f05
Source ID053ee310-94c5-4b68-92b8-71a31ce39e2b
Board ID053ee310-94c5-4b68-92b8-71a31ce39e2b
Providergreenhouse
Provider Job Key7931735
TitleSenior Machine Learning Scientist, Conversion Modeling
Normalized Title
Statusactive
Activeyes
Location TextAustin, Texas
Department225 - Advertising Engineering
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionTX
CityAustin
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://www.weareroku.com/jobs/7931735?gh_jid=7931735
Apply URLhttps://www.weareroku.com/jobs/7931735?gh_jid=7931735
First Seen At2026-05-29 22:39:52Z
Last Seen At2026-06-06 18:52:44Z
Last Checked At2026-06-06 18:52:44Z
Last Changed At2026-06-06 18:52:44Z
Inactive At
Source Posted At2026-05-28 22:30:56Z
Source Updated At2026-06-06 16:10:34Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=roku/date=2026-06-06/2026-06-06T18-52-43-420Z-d13f4204c042a58d9512c0bc9887b125d2414ef2327a8ec23251299926c13a06.json
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Extensions
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