Machine Learning Engineer - New Grad 2026

#Team Nextdoor 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. The Impact You’ll Make 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. What You’ll Bring To The Team 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 Bonus Points - Industry experience of applying machine learning at scale Eagerness to explore and apply AI and emerging technologies to reimagine how work gets done Rewards Compensation, benefits, perks, and recognition programs at Nextdoor come together to create our total rewards package. Compensation will vary depending on your relevant skills, experience, and qualifications. Compensation may also vary by geography. The starting salary for this role is expected to be $150,000 to $175,000 on an annualized basis, or potentially greater in the event that your 'level' of proficiency exceeds the level expected for the role. We also expect to award a meaningful equity grant for this role. With equal quarterly vesting, your first vest date would be within the first 3 months of your start date. Perks Benefits We’ve got you covered! We are dedicated to supporting your personal and professional growth with a comprehensive benefits package that includes: Access to benefits (including mental hea ... (truncated, view full listing at source)