Senior Software Engineer, Machine Learning

Develops and maintains AI platforms to enhance marketing intelligence solutions. Collaborates with cross-functional teams to integrate AI capabilities into existing products. Requires expertise in Python, machine learning frameworks, and cloud infrastructure.

Develops and implements machine learning models to enhance ad targeting and performance, requiring expertise in data analysis and algorithm development.

Develops and deploys machine learning models and AI systems, building scalable ML pipelines, optimizing model performance, and integrating AI capabilities into production environments using Python, TensorFlow, and PyTorch.

This role leads the architecture and development of Cardlytics' core data and AI infrastructure on the Databricks platform, focusing on distributed systems scalability and platform reliability. The engineer will utilize Apache Spark, Delta Lake, and MLflow to build scalable data pipelines and machine learning workflows.

This role involves building and maintaining backend systems for Cardlytics' purchase-based advertising platform, focusing on scalable data processing and API development to handle transaction data and deliver targeted ads. Requires experience with Python, Java, and SQL.

This role drives new business sales for partner acquisition, focusing on a hunt-oriented go-to-market motion to build the partner ecosystem. It involves identifying and closing new partnerships to expand Cardlytics' network, likely targeting retailers and other data partners.