Senior Machine Learning Scientist, Conversion Modeling
About The Position
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
- 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)
- Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
