Realtor.com® aims to empower more people to find their way home by improving the real estate experience through intelligent search ranking and recommendation models, making homeownership more accessible and easier for consumers.
Requirements
- 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
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
- 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
- Hybrid schedule (three days on-site, two days remote) based in Austin, TX
- Visa sponsorship and relocation assistance are not available for this program
- Expected graduation year: Master’s or PhD program ongoing
