- Experience
- Not specified
- Pay
- $125K – $292K per year
- Education
- Not specified
- Location
- Chicago, IL; New York, NY; San Francisco, CA
- Work mode
- Hybrid
- Job type
- Full-time
About this role
Chime is a fintech company whose data science and ML team builds models for fraud protection, lending and personalization. This engineer takes models end to end into production on large transactional datasets.
What you will do
- Build and deploy deep learning and classical ML models on financial data
- Take models from problem framing to production and monitoring
- Design feature pipelines, batch and real-time inference and retraining
- Partner with product, engineering, analytics and risk teams
- Connect model performance to member and business metrics
- Contribute to the shared ML platform and standards
What the employer expects
- Production deep learning experience
- Solid ML fundamentals and evaluation design
- Experience across the full ML lifecycle
- Comfort with messy data issues like leakage and class imbalance
- Strong Python and SQL with PyTorch and Spark
- Working knowledge of AWS, SageMaker, Airflow, Kafka, Redis and Snowflake
Benefits
- Backup child, elder and pet care
- Subsidized commuter benefits
- Generous vacation and company-wide days off
- 1% of time off for community organizations
- Annual wellness stipend
- Up to 22 weeks paid parental leave for birthing parents and 12 for non-birthing parents
- Family planning reimbursement
Skills
- Python
- SQL
- PyTorch
- Spark
- AWS
- SageMaker
- Airflow
- Kafka
- Redis
- Snowflake
Apply on the employer's site
The application opens on Chime careers page (Greenhouse). Dev Portal Notes does not collect your application or charge a fee.
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