ML Engineering Manager - Credit Underwriting (Remote Spain)

Affirm, Inc.

United States

Remote

USD 115,000 - 155,000

Full time

3 days ago
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Benefits offered by this job

Health coverage for dependents
Tech stipend
Flexible time off
Employee stock purchase plan

Job summary

Affirm, Inc. is seeking an International Machine Learning Engineering Manager to lead a team of ML engineers building models powering credit lending decisions across Europe and Australia. You will mentor engineers, shape ML strategy, and partner with risk, product, and engineering leaders to deliver scalable solutions.

You will drive technical strategy, collaborate across teams, and oversee talent development while navigating ambiguity and complex systems.

Qualifications

  • Bachelor's degree in a technical field with 8+ years of industry experience including 3+ years managing engineers.
  • Experience in financial services, specifically credit/lending.
  • Proficiency in machine learning with tree-based models, transformers, deep learning, and agentic ML.
  • Strong engineering skills with hands-on technical leadership while working with code/architecture.
  • Comfort moving from low-level language idioms to large system architecture.

Responsibilities

  • Set the technical strategy for your team and align projects with underwriting system needs.
  • Advocate for scalable technical solutions and robust operational processes.
  • Collaborate with product, analytics, risk, and design to ensure sustainable architectures and trade-offs.
  • Mentor engineers, provide feedback, and lead by example.
  • Participate in on-call rotations as required.

Skills

Engineering leadership
Machine Learning
Financial services
Team management
Architectural skills

Education

Bachelor's degree in a technical field

Job description

Affirm, Inc. is seeking an International Machine Learning Engineering Manager to lead a team of ML engineers building models powering credit lending decisions across Europe and Australia. You will mentor engineers, shape ML strategy, and partner with risk, product, and engineering leaders to deliver scalable solutions.

You will drive technical strategy, collaborate across teams, and oversee talent development while navigating ambiguity and complex systems.

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