Senior Machine Learning Scientist (Conversion Modeling)
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Salary
$149k – $361k per year
Location
Hybrid (San Jose, United States)
Seniority
Senior · 8+ years exp
Visa
H-1B filings in 12 months: 63 · for this role: 43 · green card filings: 7
Employment
Full-Time
Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Jun 3, 2026. Roku scores B on the Alion truth index.
Overview
Company
Impact
Profile match
Roku is an American streaming platform company headquartered in San Jose, California, that makes the Roku operating system, streaming players and Roku-branded TVs and sells advertising across its free and paid channels. Founded in 2002 and listed on Nasdaq, it licenses its software to TV manufacturers, runs The Roku Channel and has engineering and business offices in Austin, Boston, New York, Santa Monica, Cambridge, Manchester and London. Its openings focus on software, machine learning and data engineering, data science, ad technology and search, alongside account executives, finance analysts and legal counsel.
Backed by Menlo Ventures
Join our team as a Senior Machine Learning Scientist specializing in Conversion Modeling. In this role, you will apply state-of-the-art research and conduct your own research to develop novel methodologies for various advertising-related challenges. You will work on conversion modeling, attribution methodologies, dynamic creative generation and optimization, forecasting, yield and margin optimization, and experimentation for A/B and multivariate testing. Additionally, you will build generative models for image and video ads and stay updated on advancements in related areas.
Missions
- Appliquer des recherches de pointe et mener vos propres recherches pour développer des méthodologies novatrices.
- Construire des modèles génératifs pour générer des publicités image et vidéo.
- Rester à la pointe des avancées dans les domaines connexes.
Profil recherché
- 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- Published paper(s) on deep learning models for Advertising or related areas
- 8+ years of experience in applied research using statistical and deep learning techniques
- Excellent communication and collaboration skills
- PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field
- Experience in the Advertising domain
- Contributions to open-source ML projects
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