Senior Software Engineer, Machine Learning

This Senior Machine Learning Engineer role at Reddit designs and builds production ML systems for personalized recommendations, search, ranking, and advertising. Responsibilities include owning the full ML lifecycle, building scalable pipelines, and applying state-of-the-art techniques like deep learning and LLMs. Requires 3-5+ years of production ML experience and strong programming skills.

This Senior Machine Learning Engineer role is responsible for designing, building, and deploying scalable ML models and pipelines into production. The position requires deep expertise in Python, ML frameworks like TensorFlow or PyTorch, and experience with cloud infrastructure and containerization. The role involves optimizing model performance and ensuring reliability in a production environment.

This senior role designs and implements machine learning models for customer engagement and predictive analytics. The engineer will work on feature engineering, model training, and deployment to production systems.

Design and implement machine learning models to optimize ad targeting and bidding algorithms. Requires strong ML background and experience with large-scale data.

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.