Machine Learning Engineer New Grad 2026
Overview
As a Machine Learning Engineer on Nextdoor's growing ML team, you will own model development for personalized content, recommendations, and ads across 350,000+ neighborhoods. You will collaborate daily with product and data science, run live experiments, and ship models that impact millions of users. This role offers a unique chance to shape ethical AI in a lean, high-impact team. You will work in an AI-first environment using tools like Claude, Gemini, and ChatGPT to accelerate your work.
What You'll Do7
- 1Build and iterate on ML-driven products in Python or Java to boost discovery and engagement in the newsfeed.
- 2Develop personalized recommendation systems using deep learning to serve content to millions of daily users.
- 3Run and analyze live A/B experiments to improve model quality and drive measurable product impact.
- 4Collaborate with data scientists and engineers to design features and validate model performance.
- 5Ship production models for Feed, Notifications, Ads, or Knowledge Graph, ensuring low-latency inference.
- 6Own the full ML lifecycle: data exploration, feature engineering, training, evaluation, and deployment.
- 7Use AI tools like Claude and Gemini to accelerate coding and model debugging workflows.
Requirements6
- 1Master's Degree or Ph.D. in Computer Science, Applied Math, Statistics, or related field, graduating December 2025 or May-June 2026.
- 2Deep understanding of machine learning concepts such as deep learning and applications like recommender systems.
- 3Internship experience in machine learning engineering within social networking or e-commerce.
- 4Strong programming skills in Python or Java.
- 5Effective communication and collaboration skills to work with cross-functional teams.
- 6Passion for Nextdoor's mission and purpose of building local community.
Salary Insight
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