Back to results
Technology & IT

Staff AI/ML Engineer at Chime (San Francisco, California)

Chime
On-site · San Francisco, California Mid-level USD 246k–340k / yr Posted 4 days ago International
Apply on company site ↗
Not ready to apply yet?
Free ATS check

Check your CV before you apply

See your score the way hiring software reads it. If it needs work, build a stronger resume in the same place.

About the role

Chime is a fintech company offering banking services and personal loans to millions of members. Chime's Data Science & Machine Learning team builds the models, services, and platforms behind how millions of members manage and grow their financial lives. We're hiring a Staff AI/ML Engineer on our Lending and Cashflow team to lead the modeling behind cash flow underwriting and surface member insight: using members' transaction and deposit data to make fair, accurate credit

Key responsibilities

  • Lead the design, training, and deployment of deep learning and classical ML underwriting models that turn members' transaction
  • Take models from problem framing through to production — training, evaluation, deployment, monitoring, and iteration —
  • Design and improve the systems around the model: feature pipelines, batch and real-time inference, monitoring, and retraining
  • Partner with Product, Engineering, Analytics, and Risk to turn ambiguous business problems into ML solutions
  • Connect model performance to member outcomes and business metrics, and use experimentation to prove impact
  • Set the technical roadmap for Lending ML and raise the bar across the team through design reviews, mentorship

Requirements

  • A track record of leading the design and deployment of deep learning models in production, including multi-quarter initiatives that span teams
  • 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 —

Location and schedule

  • Onsite in San Francisco, California

Salary and benefits

US base salary $246,000 to $340,000 a year. Chime also offers benefits; the full list is on the posting.

How to apply

Apply on the company's own site.

Chime
Listed via Direct
View companies

Source: Direct · THE BRIEFED never charges candidates.

The Weekly Brief

New roles, in your inbox.

One email a week — the best hand-picked roles, salary insights and career reads. No spam, unsubscribe any time.