Realtor.com ยท 4 hours ago
Intern, Machine Learning Engineer (Rankings & Recommendations) Masters or PhD
Realtor.com is a leading online real estate platform that has been connecting buyers, sellers, and renters for over 25 years. They are seeking a Machine Learning Engineer Intern to join their Search & Recommendations team, where the intern will develop intelligence for search ranking and recommendation models using machine learning techniques.
PropTechReal EstateRental Property
Responsibilities
Assist in designing, building, and optimizing machine learning models that power our search ranking and recommendation systems
Support the development of algorithms to personalize search results based on user behavior, preferences, and intent
Help create and maintain data pipelines to process large datasets for search and recommendation features
Apply foundational techniques in NLP, deep learning, or related areas to improve search relevance and recommendations
Contribute to the development of scalable, fault-tolerant, and easy-to-use distributed systems for search and recommendations
Create documentation for and test new ML applications
Improve coding abilities by being introduced to new tools and programming languages
Collaborate with engineering, product, and data science teams to implement ML-driven solutions
Qualification
Required
Currently pursuing a Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field
Excellent analytical and mathematical abilities
Foundational knowledge of machine learning concepts and algorithms
Programming experience in Python, and familiarity with SQL; experience with embeddings and LLMs is a plus
Ability to work in teams and communicate technical concepts clearly
Eagerness to learn and apply new technologies and ML techniques in a real-world setting
Company
Realtor.com
Realtor.com is an online platform that allows users to search for real estate property records, houses, condos and lands. It is a sub-organization of Move.
Funding
Current Stage
Late StageRecent News
2026-01-03
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2025-12-30
MarketScreener
2025-12-24
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