Machine Learning Engineer - Infrastructure at Nextdoor
San Francisco, CA, US

Are you eager to build scalable infrastructure for a community-focused product? Do you want to develop and support important machine learning initiatives that will help neighbors discover their own local scene? Would you like to join a growing company to play a large role in shaping its future? If so, we’d love to meet you.

We are looking for an infrastructure-minded machine-learning engineer who can build a scalable ML platform in a rapidly changing company. In this role, the engineer will focus on developing training, serving, and monitoring infrastructure for machine learning models. The engineer should also be well-versed in working with data, building models, and understanding how to interpret and monitor model outputs. This infrastructure will support the ability to personalize the Nextdoor experience to our members. As a result, you will be laying the foundation for a critical part of Nextdoor’s mission.

Requirements

  • B.S. in Computer Science, Math, Statistics, or a related field
  • 5+ years of industry/academic experience building machine learning models and infrastructure at scale
  • Proven engineering skills. Experience writing and maintaining high-quality production code. Python experience a plus
  • Ability to work with and analyze large amounts of data
  • Ability to succeed in a dynamic startup environment

Benefits

  • The opportunity to work with a collaborative and entrepreneurial team on a powerful mission to change the world, one neighborhood at a time
  • 100% company-paid health insurance premiums (medical, dental and vision) for you and your family
  • Paid vacation and company holidays
  • 401K plan
  • Meaningful equity for all employees
  • Pre Tax Commuter benefits through Clipper card
  • Free catered dinners during the week, Monday-Thursday, and catered lunch on Wednesdays
  • Fully stocked kitchens with drinks, snacks, and candy
  • La Marzocco espresso machine with Blue Bottle coffee
  • Shiny Apple products on your first day