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Salary
≈ $199k – $379k per year (Estimated)
Location
Hybrid (Austin, 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 14, 2026. First seen by Alion on May 21, 2026. Roku scores A 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 Roku's Advertising Performance group as a Senior Machine Learning Scientist. 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, dynamic creative generation and optimization, forecasting, yield and margin optimization, and experimentation for A/B and multivariate testing. The ideal candidate will have a PhD in a quantitative discipline, published papers on deep learning models for advertising, and 8+ years of experience in applied research using statistical and deep learning techniques.

Missions

  • Appliquer la recherche et mener vos propres recherches pour développer de nouvelles méthodologies afin de résoudre une grande variété de problèmes complexes liés à la publicité.
  • Construire des modèles génératifs pour générer des publicités image et vidéo visant à optimiser les performances.
  • 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

- PhD in a quantitative discipline such as CS, Statistics, Applied Math or a related field

- Published paper(s) on deep learning models for Advertising or related areas

- Excellent communication and collaboration skills

- 8+ years of experience in applied research using statistical and deep learning techniques

- Experience in the Advertising domain

- Contributions to open-source ML projects

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