Machine Learning Engineer - New Grad 2026

Nextdoor • San Francisco, CA

15h • $150,000 - $175,000 • Hybrid

About The Position

Nextdoor (NYSE: NXDR) is the essential neighborhood network. Neighbors, public agencies, and businesses use Nextdoor to connect around local information that matters in more than 340,000 neighborhoods across 11 countries. Nextdoor builds innovative technology to foster local community, share important news, and create neighborhood connections at scale. Download the app and join the neighborhood at nextdoor.com.
Meet Your Future Neighbors
At Nextdoor, Machine Learning is one of the most critical teams we are growing. ML is transforming our product through personalization, driving significant impact across various platform components, including newsfeed, notifications, ad 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. 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 machine learning engineers who believe in the power of the local community to empower our members to make their communities great places to live.
At Nextdoor, we offer a warm and inclusive work environment that embraces a hybrid employment model, blending an in-office presence and work-from-home experience for our valued employees.

Requirements

• Master’s Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field, graduating in December 2025/May-June 2026
• Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
• Internship in machine learning engineering in a related field (e.g. social networking, e-commerce)
• Strong programming skills in Python or Java
• Effective communication and collaboration skills
• Passion for Nextdoor’s mission and purpose

Nice To Haves

• Industry experience of applying machine learning at scale
• Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done

Responsibilities

• Build and iterate on ML-driven products to foster creativity, discovery, and engagement on Nextdoor
• Develop personalized content and user recommendation systems that millions of users rely on daily
• Run and analyze live user-facing experiments to iterate on model quality
• 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
• We have MLE positions across multiple tracks, including Feed, Notifications, Ads, Network Growth, Knowledge Graph, and ML Platform.

Benefits

• Access to benefits (including mental health benefits, commuter benefits, wellness benefits, gender affirming care, etc)
• Flexible paid time off
• Dedicated volunteer days
• Stocked micro-kitchens and lunches at our offices
• Ability to join any of our Employee Resource Groups (ERGs)

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 501-1,000 employees