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# Machine Learning Scientist, Conversion Modeling

- **Company:** Roku, Inc.
- **Location:** Austin, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Open Source Technology, Deep Learning, Machine Learning Operations
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/senior-machine-learning-scientist-conversion-modeling-roku-8000898

## About the Role

* 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

## Description

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, 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.


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