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Machine Learning Engineer - Supply Growth


Headquarters: San Francisco, CA
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  • Architect, build, maintain our supplier scoring systems.
  • Design and develop robust machine learning models for supplier segmentation and targeting.
  • Partner with other engineers to design interfaces and integrate scoring and targeting models into our engagement channels (website and notifications).
  • Design and automate offline evaluations and online A/B testing pipelines and reporting.
  • Collaborate with your peers and other teams to teach, learn and execute efficiently.
  • Contribute to improving our processes and engineering culture.

What We Care About

  • Ownership, trust, responsibility and proactiveness.
  • A data-driven approach towards continuous improvement in the user experience.
  • Building scalable systems using best engineering practices, while understanding the tradeoff between time and perfection.
  • Speaking UP. Thinking Big. Influencing Outcomes. Infinite Learning. Transparency.


  • 5+ years for software engineering experience in languages like Java, Scala, Python, Julia or similar.
  • 2+ years of experience working with data-centric systems. Experience with real-time data processing technologies.
  • Believer in automated testing.
  • Strong experience in distributed systems design and best practices.
  • (Bonus) API design & management.