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Machine Learning Engineer I - Remote

Posted 3 days ago
Software Development
Full Time
USA
$115,000 - $170,000/year

Overview

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

In Short

  • Join the Affirm team as a Machine Learning Engineer.
  • Contribute to the ML Underwriting team.
  • Develop high-quality, production-ready models.
  • Utilize proprietary and third-party data to assess creditworthiness.
  • Collaborate with engineering and product teams.
  • Research and prototype innovative credit decisioning solutions.
  • Implement and scale essential data pipelines and algorithms.
  • Drive cross-functional requirements with product and engineering teams.
  • Present technical concepts effectively to various audiences.
  • Work in a remote-first environment.

Requirements

  • Proficiency in machine learning techniques.
  • Strong programming skills in Python and SQL.
  • Experience with large-scale distributed systems like Spark or Ray.
  • Familiarity with open-source tools like scikit-learn and XGBoost.
  • Excellent communication skills.
  • Ability to present technical concepts clearly.
  • Strong sense of responsibility.
  • Bachelor’s degree or equivalent practical experience.

Benefits

  • 100% subsidized medical coverage for you and your dependents.
  • Generous stipends for technology and lifestyle needs.
  • Competitive vacation and holiday schedules.
  • Employee stock purchase plan at a discount.
Affirmedrxpbc logo

Affirmedrxpbc

AffirmedRx, PBC is dedicated to enhancing health care outcomes by providing clarity, integrity, and trust in pharmacy benefit management. The company aims to simplify pharmacy benefits for employers and the individuals they serve, ensuring that these benefits are easily understandable and accessible. By leveraging advanced technology and a clinical approach, AffirmedRx strives to uphold the highest standards of business practices. The organization fosters a culture of collaboration and continuous improvement, with a commitment to doing what is right for all stakeholders involved.

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