Job Opportunities API

#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 350,000 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 operate in an AI-first environment and expect every team member to actively use AI tools as part of their workflow. We aren't looking for prompt engineers; we’re looking for people who use tools like Claude, Gemini, ChatGPT, and Glean to challenge their own thinking and take full ownership of AI-assisted outputs. We also 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 hiring team will go over these expectations with you if you are being considered for a role near one of our offices in San Francisco, Los Angeles, Chicago, Dallas, New York, and London.  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 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. The starting salary for this role is expected to be $150,000 to $175,000 on an annualized basis, or potentially greater