Machine Learning Engineer - New Grad 2025
August 23
🏢 In-office - San Francisco
Description
• 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. • Build and iterate on ML-driven products to foster creativity, discovery and engagement on Nextdoor. • Build personalized content and user recommendation systems used by millions of users every day. • 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. • We have MLE positions across multiple tracks including Feed, Notifications, Ads, Network Growth, Knowledge Graph and ML Platform.
Requirements
• Master’s Degree or Ph.D. in Computer Science, Applied Math, Statistics, or a related field; expected graduation between 2024 and Summer 2025 • 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 the Nextdoor’s mission and purpose • Bonus Points - Industry experience of applying machine learning at scale
Benefits
• A variety of health plans, and a OneMedical membership for concierge care • Flexible paid time off • Dedicated volunteer days • Monthly wellness stipend • Mental health support • Gender affirming care • Stocked micro-kitchens and lunches at our offices
Apply Now