Software Engineer Intern

Realtor.com CareersAustin, TX
4dHybrid

About The Position

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com® has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com® not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. At Realtor.com, we’re driven by a purposeful vision: to help more Americans find their way home. Homeownership is inherent to the American Dream, and we’re in the business of fulfilling those dreams. We’re building the No. 1 open real estate marketplace, and for more than 25 years, we’ve helped millions of people successfully navigate the journey to home. Join us next summer and be part of the team that’s reshaping how people find, buy, sell, and live in their homes. Our Summer Internship Program is more than a resume builder—it's a launchpad. Whether you're exploring your interests or deepening your skills, you’ll gain real-world, hands-on experience that matters. You won’t sit on the sidelines. Instead, you’ll join us in setting big goals and going after them. You’ll be given the space to bring great ideas to life, and you’ll lean into your curiosity and creativity to experiment and question the status quo, learning from every experience as you go. With mentorship from experienced professionals and the freedom to share your ideas, you’ll expand your knowledge and impact, make connections with talented and passionate people, and take a bold step toward your future. At Realtor.com®, you’ll join a supportive environment where you’re encouraged to grow, challenged to think differently, and inspired to make a difference. We’re looking for a Machine Learning Engineer Intern to join our Search & Recommendations team. You’ll play a hands-on role in developing the intelligence behind our search ranking and recommendation models, leveraging machine learning techniques to improve how users interact with our platform. If you’re passionate about applied AI, big data, and building ML solutions that have real-world impact, we’d love to hear from you! At Realtor.com®, you’ll do more than gain experience—you’ll make an impact, grow your network, and help us build a better future for home. Ready to build a way home for everyone? Apply and join us in Summer 2026. Here, you’ll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you’ll find your way home too. At Realtor.com®, you’ll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates.

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
  • 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

Nice To Haves

  • 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
  • Collaborate with engineering, product, and data science teams to implement ML-driven solutions
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