Remerge is seeking a Machine Learning Engineer to join its Performance team, focusing on developing and deploying ML models for real-time adtech environments. The role involves owning the full ML pipeline, optimizing bidding algorithms, and collaborating cross-functionally.
Responsibilities
Develop & Scale ML Models: Build, train, and deploy high-performance machine learning prediction models optimized for real-time adtech environments.
Own the Full ML Path: Take models from raw data and feature definitions through training, evaluation, and online serving.
Optimize the Bidding Engine: Design and refine complex bidding algorithms orchestrating multiple models.
Run & Analyze Experiments: Design, execute, and evaluate offline simulations and online A/B tests.
Collaborate Cross-Functionally: Collaborate with engineering and product partners.
Augment Your Workflow: Integrate new AI tools and coding agents to maximize throughput and code quality.
Requirements
Strong proficiency in Python and TensorFlow for building ML models.
Comfortable reading Go for online serving services.
Nice to Have
Knowledge or experience in reinforcement learning, control engineering, mathematical optimization, or causal inference.
FullStory is a digital experience intelligence platform that provides behavioral analytics, session replay, and journey mapping to help companies improve user experience. It offers a privacy-first, AI-powered platform for capturing and analyzing user interactions across digital products.