Machine Learning Engineer - New Grad 2026 at Nextdoor · San…

Summary: Nextdoor is the essential neighborhood network that connects neighbors, public agencies, and businesses. They are seeking a Machine Learning Engineer to build data-intensive products, develop personalized content systems, and collaborate with product and data science teams to enhance user engagement. 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 Required Qualifications: - 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 Preferred Qualifications: - Industry experience of applying machine learning at scale Required Skills: Machine learning, Deep learning, Recommender systems, Knowledge graph, Python, Java 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)