Machine Learning Scientist (Creative Generation & Personalization)

Roku, Inc.

Austin, TX, United States

2 months ago

Apply on www.weareroku.com

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.weareroku.com

Tech stack

Artificial Intelligence Distributed Systems Machine Learning Multivariate Testing Open Source Technology Reinforcement Learning Deep Learning Machine Learning Operations

Job 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

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
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