The opportunity
At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free.
What you'll do
Design, build, and operate scalable ML infrastructure on AWS
Develop distributed training and batch processing systems using Ray
Build and maintain infrastructure-as-code using Terraform
Support and evolve the feature store and feature pipelines
Develop data ingestion and streaming systems (e.g., Kinesis, Kafka, Flink, Spark, or similar technologies)
Improve CI/CD workflows for ML models and platform components
What they're looking for
- Enhance observability, reliability, and cost visibility across ML workloads
- Partner closely with Data Science and ML Engineering teams to improve developer experience
- Contribute to platform architecture decisions and technical roadmaps
- Participate in on-call rotations to support production systems
