Senior Machine Learning Scientist, Advertising
About The Position
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. 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.
Requirements
- 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
Nice To Haves
- Experience in the Advertising domain
- Contributions to open-source ML projects
Responsibilities
- 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
Benefits
- global access to mental health and financial wellness support and resources
- healthcare (medical, dental, and vision)
- life, accident, disability, commuter, and retirement options (401(k)/pension)
- time off, in accordance with local leave policies and other personal needs
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
