Junior Machine Learning Engineer, Nextdoor

Product

$133-193k

We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date

Junior and Mid level

San Francisco Bay Area

Private social network for neighbours

Be an early applicant

Private social network for neighbours

501-1000 employees

B2CPrivacyNetworkingSocialSaaS

Be an early applicant

$133-193k

We also expect to award a meaningful equity grant for this role. With quarterly vesting, your first vest date would be within the first 3 months of your start date

Junior and Mid level

San Francisco Bay Area

501-1000 employees

B2CPrivacyNetworkingSocialSaaS

Company mission

Nextdoor’s mission is to cultivate a kinder world where everyone has a neighbourhood they can rely on.

Job

Company

Role

Who you are

M.S. or Ph.D in Computer Science, Applied Math, Statistics, Computational Biology or a related field
1+ years of industry experience in applying machine learning at scale
Experience with recommendation systems, deep learning models, feed/notification relevance, knowledge graphs, Ads, or NLP at scale
Experience building ML models for consumer-facing products
Proven engineering skills, with experience in 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
Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

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 the impact on business metrics
Collaborate with other engineers and data scientists to create optimal experiences on the platform
Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team-building exercises
Build in-person relationships with team members and contribute to Nextdoor’s company culture

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

Top investors

8% employee growth in 12 months

Glassdoor (3.2)

Trustpilot (2.6)

Company

Funding (2 rounds)

May 2019

$132.2m

Dec 2017

$80.6m

Total funding: $212.8m

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 HQ

SoMa, San Francisco, CA

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

Salary benchmarks

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