Realtor.com is looking to improve its search ranking and recommendation models to provide a better user experience for home buyers, sellers, and renters, by leveraging machine learning techniques and big data.
Requirements
- Foundational knowledge of machine learning concepts and algorithms
- Programming experience in Python, and familiarity with SQL
- Experience with embeddings and LLMs is a plus
- Excellent analytical and mathematical abilities
- 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
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
Other
- Currently pursuing a Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field
- Ability to work in a hybrid schedule (three days on-site, two days remote) in Austin, TX
- Visa sponsorship and relocation assistance are not available for this program
- Must be available for an 11-week internship from June 1, 2026, to August 14, 2026
- Must be willing to learn and apply new technologies and ML techniques in a real-world setting
