Who can apply: Only open to applicants in: California.
Location as listed by the employer: “San Francisco, CA, USA; San Francisco Office”
Apply on Chime Financial, Inc's site ↗
Opens the employer's official application page.
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About this role
Chime Financial, Inc is hiring for a Staff AI/ML Engineer role. See the official posting for full details.
Requirements
- A track record of leading the design and deployment of deep learning models in production, including multi-quarter initiatives that span teams, with a solid grasp of architecture choice, training dynamics, and evaluatio…
- Solid machine learning fundamentals: classical modeling, evaluation design, and knowing which metric actually answers the question in front of you
- Hands-on experience across the end-to-end ML lifecycle — training, experimentation, optimization, deployment, and monitoring
- Comfort with messy real-world data, including label definition, leakage, class imbalance, and train/serve skew
- Strong proficiency in Python and SQL, with deep learning frameworks such as PyTorch and distributed compute such as Spark or PySpark
- Working knowledge of modern ML infrastructure — AWS and tools such as SageMaker, Airflow, Kafka, Redis, and Snowflake — and an MLOps mindset for keeping production systems healthy
- The ability to operate independently in ambiguous environments, influence technical direction beyond your own team, and explain model decisions clearly to engineers, risk partners, and senior leaders
- Credit or underwriting models, and familiarity with model governance, explainability, and fairness requirements, such as adverse action reason codes and fair lending testing
Summarized from the employer's posting — check the full posting for every requirement.
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