Resumo da vaga

Manager, Machine Learning Engineering (Underwriting)

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects.
  • Act as a force-multiplier through your definition and advocacy of technical solutions and operational processes.
  • Collaborate across teams in the product development lifecycle by partnering with product management, design & analytics to ensure technical sustainability, risks and trade-offs are well understood and managed.
  • Develop talent by providing feedback and guidance, and leading by example.
  • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
  • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
  • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
  • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

What We Look For

  • Bachelors in a technical field with 8+ years of industry experience, including 3+ years managing engineers
  • Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic ML.
  • Strong engineering skills and the ability to provide hands-on technical leadership while working with our code and architecture
  • You thrive in ambiguity, and are comfortable moving from low level language idioms all the way to the architecture of large systems to understand how they work.
  • This position requires either equivalent practical experience or a Bachelor’s degree in a related field.
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