Machine Learning Engineer - Financial Data

As a Machine Learning Engineer on Clair’s Data team, you will be responsible for transforming diverse financial data sources into production-grade features, predictive signals, and modeling pipelines that power Clair’s credit and underwriting systems.

Requirements

• 5+ years of experience in machine learning engineering, data science, data engineering, or a related technical field.
• Strong experience in feature engineering, particularly with large-scale transactional or time-series datasets.
• Proficiency in Python, SQL, and modern ML frameworks (e.g., PyTorch, XGBoost, sci-kit learn).
• Experience building production ML pipelines and deploying models in cloud environments
• Strong understanding of data modeling, forecasting, and statistical analysis.
• Clear and effective communication skills when working with product, engineering, and business stakeholders.
• Demonstrated ability to execute end-to-end: from raw data exploration to production ML implementation.
• Software engineering proficiency with a sensible adherence to good software design patterns

Benefits

• Medical, Dental, & Vision Coverage, with option to extend to your family
• Fully-paid parental leave
• Company-sponsored 401k, HSA, and FSA
• Unlimited vacation for salaried roles, generous PTO for hourly roles
• Work from home setup allowance
• Access to your earnings every day on Clair
• Company-sponsored short-term and long-term disability insurance