Senior Software Engineer

Description:

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.

What you will be doing

• Applying existing and conducting your own research to build SOTA Deep learning discriminative models and build generative models to create image and video ads geared towards optimizing performance.
• Stay at the forefront of advancements in related areas.

We're excited if you have

• PhD in quantitative disciplines such as CS, Statistics, Applied Math or a related field.
• Extensive 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.
• Experience in the Advertising domain (preferred)
• Contributions to open-source ML projects (preferred)