Latest ML Engineering jobs at Chime

Build and operate scalable ML and AI platform infrastructure for training, inference, LLM, and agentic workloads on AWS. The role requires 5+ years of experience in ML infrastructure, platform engineering, distributed systems, or production ML systems, plus strong programming and DevOps skills.

Senior AI/ML Engineer building transformer and deep learning models on financial and behavioral data to power personalized growth and marketing experiences at Chime. Requires strong production ML experience with PyTorch, AWS, and large-scale data infrastructure.