Data Science Leader

2 days ago


San Francisco, California, United States ZipRecruiter Full time

About Nextdoor

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Nextdoor is a neighborhood-focused social network that aims to cultivate a kinder world where everyone has a neighborhood they can rely on. With over 305,000 neighborhoods across 11 countries, our platform has become an essential tool for community-building.

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The Job Description

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As a Machine Learning Engineer at Nextdoor, you'll be part of a growing team that's transforming our product through personalization. You'll work with data and features to build machine learning models, share insights around data and experiments, and collaborate with the product team and Data Science team on a daily basis.

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Your Responsibilities

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  • You'll build data-intensive products that make a real impact on our members' lives.
  • You'll collect and gather datasets to build machine learning models that make real-time decisions for our platform.
  • You'll analyze datasets and use important features to build low-latency models for decisions that need to be made quickly.
  • You'll deploy ML models into production environments and integrate them into our product.
  • You'll run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics.
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Your Requirements

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  • B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field.
  • 2+ years of industry/academic experience applying machine learning at scale.
  • Experience building ML models for consumer-facing products.
  • Proven engineering skills, with experience writing and maintaining high-quality production code.
  • Ability to work with and analyze large amounts of data.
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Compensation and Benefits

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We offer a competitive salary range of $190,000 - $355,000 per year, depending on your relevant skills and qualifications. We also provide a comprehensive benefits package, including 100% coverage of health, dental, and vision premiums, plus a OneMedical membership for concierge care.



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