Senior Machine Learning Scientist, Creative Generation & Personalization

Requirements

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

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

(Desirable) Experience in the Advertising domain

(Desirable) Contributions to open-source ML projects

What the job involves

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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