Chime
AI/ML Engineer
$125K–$292K
Chicago, IL, USA +3 · Full-time · Posted Jun 8, 2026
- Location
- Chicago, IL, USA
New York, NY, USA
San Francisco, CA, USA
San Francisco, California, United States
About the job
Build and operate production machine-learning systems that use financial, transactional, and behavioral data to improve member safety, credit access, personalization, and shared ML capabilities.
What you'll do
- Build, train, deploy, monitor, and iterate on deep learning and classical ML models in production.
- Design supporting ML systems, including feature pipelines, inference, monitoring, and retraining; connect model performance to business and member outcomes.
- Partner with cross-functional teams on ML solutions and contribute to shared platform tooling and standards.
What they ask for
- Production experience building and deploying deep learning models, with knowledge of architecture selection, training, and evaluation.
- Strong machine-learning fundamentals and hands-on experience across the end-to-end ML lifecycle.
- Proficiency in Python and SQL, with deep-learning frameworks such as PyTorch and distributed compute such as Spark or PySpark.
- Working knowledge of AWS and modern ML infrastructure, including tools such as SageMaker, Airflow, Kafka, Redis, and Snowflake.
Nice to have
- Experience in fraud, risk, abuse detection, or adversarial modeling; credit or underwriting; personalization or recommendation; or marketing measurement and experimentation.
- Experience with transformers on tabular or semi-structured data, large-scale pretraining, ML platform work, or applied research with a publication record.
Pay
$125,000 — $292,000 USD (base salary)
Tools
Python, SQL, PyTorch, Spark, PySpark, AWS, SageMaker, Airflow
AI focus
Applied ML and deep learning for fraud prevention, credit access, personalized experiences, marketing, and foundational models; work spans model development, deployment, and production lifecycle ownership.
Model-written summary · the original posting is authoritative