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Senior Machine Learning Engineer (Portfolio ML) - Remote

Posted 10 weeks ago
Software Development
Full Time
USA
$169,000 - $240,000/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. Affirm’s Portfolio ML team is looking for an exceptional machine learning engineer to build the next generation of credit opportunity management models.

In Short

  • Develop machine learning models to manage loan opportunities.
  • Partner with engineering teams for model training and monitoring.
  • Research and develop prototypes for portfolio decisioning.
  • Implement and scale data pipelines and algorithms.
  • Collaborate with teams to define product requirements.

Requirements

  • Proficiency in machine learning techniques.
  • Strong engineering skills in Python and SQL.
  • Experience with distributed systems like Spark or Ray.
  • Familiarity with open source projects like scikit-learn and XGBoost.
  • Excellent communication skills.
  • Ability to present technical concepts effectively.
  • Strong sense of responsibility.

Benefits

  • 100% subsidized medical coverage.
  • Generous stipends for technology and lifestyle needs.
  • Competitive vacation and holiday schedules.
  • Employee stock purchase plan.
Affirm logo

Affirm

Affirm is a financial technology company that is transforming the credit landscape by offering consumers a transparent and friendly alternative to traditional credit options. With a focus on providing flexible 'buy now, pay later' solutions, Affirm eliminates hidden fees and compounding interest, making credit more accessible and straightforward. The company is committed to fostering a strong Quality Assurance culture within its rapidly growing Customer & Fraud Operations team, ensuring high accuracy and performance through collaboration with various internal and external partners. Affirm values its employees and promotes a remote-first work environment, offering competitive benefits and a commitment to inclusivity.

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