Nextdoor is looking to grow its Machine Learning team to transform its product through personalization, driving significant impact across various platform components, including newsfeed, notifications, ad relevance, connections, search, and trust. The goal is to make Nextdoor the neighborhood hub for local exchange and empower members to make their communities great places to live.
Requirements
- Deep understanding of machine learning concepts (e.g. deep learning) and applications (e.g. recommender systems, knowledge graph)
- Strong programming skills in Python or Java
- 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
- Build in-person relationships with team members and contribute to Nextdoor’s company culture
Other
- Master’s Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field, graduating in December 2025
- 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
- Participate in in-person Nextdoor events such as trainings, off-sites, volunteer days, and team building exercises
