Machine Learning Engineer - Infrastructure Nextdoor
San Francisco, CA

Job Description

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:

* 100% company-paid health insurance premiums (medical, dental, and vision) for you and your dependents
* Paid vacation and company holidays
* Free catered dinners Monday through Thursday and catered lunch on Wednesdays
* Monthly gym stipend
* One time cell phone & headphone stipend
* Annual learning and development stipend
* Two paid volunteer days off
* Pre-tax commuter benefits
* Fully stocked kitchen with drinks, snacks and candy
* La Marzocco espresso machine with Blue Bottle coffee
* Health FSA
* 401K plan

To learn more, check out our engineering blog at https://engblog.nextdoor.com.