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Machine Learning Engineer - Financial Data

Clair

$200,000 - $200,000
Dec 11, 2025
New York, NY, US
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Clair is looking to solve the problem of delayed paycheck delivery to America's workers by creating a digital banking platform that allows them to get paid as soon as they clock out of work.

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.
  • Software engineering proficiency with a sensible adherence to good software design patterns
  • Experience with Plaid or similar financial data providers.

Responsibilities

  • Engineer high-quality features from financial and behavioral data to support credit modeling.
  • Build and maintain scalable pipelines for feature computation, income detection, and financial signal extraction.
  • Develop forecasting and predictive models for income timing, user stability, and financial behavior patterns.
  • Deploy, monitor, and optimize ML models and feature pipelines in production using AWS, Snowflake, or other tooling.
  • Contribute to the development of Clair’s Data Science platform, including model deployment workflows, feature stores, and monitoring systems.
  • Collaborate with engineering, product, and risk teams to understand their workflows and ensure data products have high availability for their use cases
  • Prototype new modeling techniques and evaluate their impact on credit and underwriting performance.

Other

  • 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.
  • Medical, Dental, & Vision Coverage, with option to extend to your family
  • Fully-paid parental leave
  • Company-sponsored 401k, HSA, and FSA