Senior Machine Learning Engineer

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.

This staff-level role leads the development and deployment of machine learning models to power intelligent messaging and personalization. The engineer will own the ML lifecycle, from research to production, ensuring model performance and reliability.

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.

Designs and builds scalable machine learning systems and infrastructure, focusing on model training, deployment, and optimization. Collaborates with data scientists and engineers to integrate ML capabilities into production environments.

This role leads engineering for Attain's consumer mobile app portfolio, acting as a player-coach who writes code and sets technical direction. The Head will manage a small team, drive shared platform reuse, and represent the consumer business at the executive level. Requires 10+ years of software engineering experience with consumer mobile products and deep backend expertise.

This VP role owns the data product portfolio, including consumer transaction data, marketing science feeds, and extrapolated datasets. The leader will set strategy, manage product managers and execution teams, and ensure scientific defensibility. Requires extensive experience in data products, marketing science, and leading teams, with fluency in causal measurement and AI methods.

This VP-level role owns the scientific methodology behind Attain's measurement products, including causal inference, attribution, and media mix modeling. The leader will set standards for defensibility, represent methodology to clients and partners, and lead a team of data scientists. Requires 10+ years in AdTech/MarTech data science and deep expertise in Bayesian methods and experimental design.