Senior Machine Learning Scientist, Conversion Modeling

About the role

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.

Requirements

• Strong technical leadership skills
• Solid grasp of core statistical techniques
• 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

Qualifications

• Experience in the Advertising domain
• Contributions to open-source ML projects

Skills

• Building generative models to generate image and video ads geared towards optimizing performance
• Stay at the forefront of advancements in related areas

Benefits

• Health insurance
• Equity awards
• Life insurance
• Disability benefits
• Parental leave
• Wellness benefits
• Paid time off