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Affirm is seeking a Machine Learning Engineering Manager to lead a team focused on advancing underwriting models. This role is within the Decisions and Pricing team, which aims to deliver optimal credit decisions while maintaining unit economics and competitive payment solutions.

The Engineering Manager will be responsible for aligning team efforts with company objectives, focusing on the development and deployment of high-quality machine learning models.

What this role involves:

  • Collaborating with Product managers, engineering teams, designers, and analysts to define the product roadmap.
  • Driving clarity from ambiguity to support faster decisions.
  • Managing planning, resource allocations, and prioritization discussions.
  • Setting strategic priorities and roadmaps for machine learning projects.
  • Building and growing globally-minded teams by attracting and hiring diverse talent.
  • Coaching and mentoring engineers, providing regular feedback.
  • Participating in on-call rotation.

What Affirm is looking for:

  • 8+ years of experience in machine learning engineering, with 2+ years in management.
  • Expertise in developing machine learning models and systems at scale.
  • Proficiency in machine learning techniques (GLM, Gradient Boosting, Deep Learning, etc.).
  • Strong skills in Python and SQL, with experience in distributed systems (Spark, Ray).
  • Experience working with cross-functional teams.
  • Track record of hiring, mentoring, and developing diverse engineering talent.
  • Comfort with ambiguity and excellent communication skills.
  • Experience building and scaling platforms is required.
  • Experience with Fintech/Retail is a plus.

What Affirm offers:

  • Flexible Spending Wallets for tech, food, and lifestyle.
  • Wellness days.
  • Learning & Development programs.
  • Parental leave.
  • Employee Resource & Community Groups.
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Affirm

Affirm is a financial technology company focused on providing consumers with transparent and flexible payment solutions. They offer "buy now, pay later" services with the goal of being honest and user-friendly, avoiding hidden fees and compounding interest. The company operates with a commitment to using technology to improve the consumer finance experience and increase transparency in lending practices.