Software Engineer Ii, Machine Learning (feature Platform)

Affirm Affirm · Fintech · Canada, United States · Remote · Checkout

Software Engineer II, Machine Learning (Feature Platform) at Affirm, focusing on building and serving data for machine learning and decisioning. This role involves feature creation, exploration, serving, data storage, availability, visibility, and offline backfilling infrastructure.

What you'd actually do

  1. With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work.
  2. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs.
  3. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts.
  4. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process.

Skills

Required

  • 1.5+ years of experience as a software engineer
  • experience designing, developing and launching backend systems
  • proficient in one of Python or Kotlin
  • familiar with the building blocks of distributed systems
  • AWS
  • MySQL
  • Kubernetes
  • taking a simple problem or business scenario into a solution that interacts with multiple software components
  • writing clear, easily understood, well tested and extensible code
  • navigating a large code base
  • debugging others' code
  • providing feedback to other engineers through code reviews
  • take ownership of your growth
  • proactively seeking feedback
  • strong verbal and written communication skills
  • Bachelor’s degree in a related field or equivalent practical experience