Machine Learning Engineer (New Graduate 2026)

• You will be part of an avid 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
• 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

• 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- Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done
• Strong programming skills in Python or Java
• Internship in machine learning engineering in a related field (e.g. social networking, e-commerce)
• Effective communication and collaboration skills
• Passion for Nextdoor’s mission and purpose
• Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
• Bonus Points - Industry experience of applying machine learning at scale
• Master’s Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field, graduating in December 2025/May-June 2026