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Affirm is seeking a Software Engineer I to join its Machine Learning (ML) Platform team. The ML Platform team builds the core infrastructure that powers Affirm's intelligence. Affirm uses machine learning to assess and approve each BNPL transaction. The ML Platform team is responsible for building the compute platform for training and serving all of Affirm's ML models and features. Online, it operates a feature store and model server that enable real-time feature computation and model scoring. Offline, it manages an environment for running large scale model training and data analysis.

What this role involves:

  • Working on tasks that contribute to the team's projects and goals.
  • Collaborating proactively with the team and stakeholders.
  • Balancing speed and quality in the work.
  • Contributing to a sense of community on the team.

What the role requires:

  • Previous work or internship experience designing, developing and launching backend systems at scale.
  • Experience using one of Python or Kotlin.
  • Familiarity with the building blocks of distributed systems, and the technologies like AWS, MySQL and Kubernetes.
  • Mastery of taking a simple problem or business scenario into a solution that interacts with multiple software components.
  • Comfort navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews.
  • Taking ownership of personal growth and proactively seeking feedback.
  • Strong verbal and written communication skills.

What the role offers:

  • Competitive vacation and holiday schedules
  • An employee stock purchase plan
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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.