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# Machine Learning Scientist (Creative Generation & Personalization)

- **Company:** Roku, Inc.
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Distributed Systems, Machine Learning, Multivariate Testing, Open Source Technology, Reinforcement Learning, Deep Learning, Machine Learning Operations
- **Published:** July 1, 2026
- **Apply:** https://www.weareroku.com/jobs/7931051?gh_jid=7931051

## About the Role

* 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

## Description

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


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