Machine Learning Engineer, Nextdoor
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$190-355k
+ Equity grant
Private social network for neighbours
Open for applications
Private social network for neighbours
501-1000 employees
Open for applications
$190-355k
+ Equity grant
501-1000 employees
Company mission
Nextdoor’s mission is to cultivate a kinder world where everyone has a neighbourhood they can rely on.
Role
Who you are
- B.S. in Computer Science, Applied Math, Statistics, Computational Biology or a related field
- 2+ years of industry/academic experience of applying machine learning at scale
- Experience of building ML models for advertising products
- Proven engineering skills. Experience of writing and maintaining high-quality production code
- Ability to work with and analyze large amounts of data
- Ability to succeed in a dynamic startup environment
What the job involves
- At Nextdoor, machine learning is one of the most important teams we are growing. Machine learning is starting to transform our product through personalization, driving major impact across different parts of our platform including newsfeed, notifications, ads relevance, connections, search, and trust
- Our machine learning team is lean but hungry to drive even more impact and make Nextdoor the neighborhood hub for local exchange
- We believe that ML will be an integral part of making Nextdoor valuable to our members
- We also believe that ML should be ethical and encourage healthy habits and interaction, not addictive behavior
- We are looking for great engineers who believe in the power of the local community to empower our members to make their communities great places to live
- You will be part of a scrappy and impactful team building data-intensive products, working with data and features, building machine learning models, and sharing insights around data and experiments
- You will be working closely with the product team and the Data Science team on a daily basis
- Finally, you will help build the foundational patterns that ML engineers will use for years to come as we ramp up our effort to introduce machine learning into our platform
- Collect and gather datasets to build machine learning (ML) models that make real-time decisions for the Nextdoor platform
- Analyze datasets and and use important features to build low-latency models for decisions that need to be made quickly
- Deploy ML models into production environments and integrate them into the product
- Run and analyze live user-facing experiments to iterate on model quality by measuring impact on business metrics
- Collaborate with other engineers and data scientists to create optimal experiences on the platform
Our take
Nextdoor is a private social network that aims to encourage social interaction between neighbours and make people aware of crime in their area.
The social network has had huge success in the United States and has expanded internationally, with Nextdoor now present in more than 242,000 neighbourhoods around the world.
The company's main competition comes from local Facebook groups, which have become less and less popular due to their comparative lack of functionality. Nextdoor's laser focus on building for neighborhoods has helped them to build a better product, and their advertising partnership with Oracle, launched in 2022, will help bring more transparency to Nextdoor's sponsorships.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
May 2019
$124.7m
Dec 2017
$76m
Total funding: $200.7m
Company benefits
- Monthly wellness stipend
- 12 weeks of parental, family or medical leave
- Global end of year shutdown
- Learning and development stipend
- Work from home opportunities
- Health insurance
Company values
- Earn trust every day
- Invest in community
- Customer obsessed
- Think big
- Experiment and learn quickly
- Act like an owner
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Prakash Janakiraman
(Advisor & Co-founder)Graduated from the University of California, Berkeley before working in engineering roles at Google and as the co-founder of Fanbase.com
David Weisen
(Engineer & Co-founder)Worked as a software engineer at Google, Fanbase.com and Open Harbour after graduating from Stanford with a degree in Computer Science
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