Similar Jobs at Realtor.com
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.
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!
Why You’ll Love This Internship- Learn and apply machine learning techniques in a real-world, high-impact environment
- Contribute to improving search and recommendation experiences for millions of users
- Gain hands-on experience with large-scale data and ML systems
- Work alongside experienced engineers and data scientists, and be exposed to cutting-edge technology at unprecedented scale and speed
- 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
- 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 machine learning frameworks like TensorFlow or PyTorch 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
Do the best work of your life at Realtor.com®
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. In return, we’ll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow.
Diversity is important to us, therefore, Realtor.com® is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.
Realtor.com Austin, Texas, USA Office
Our office is located in the vibrant east side of I-35, adjacent to downtown Austin, offering a prime, easily accessible location. We prioritize both productivity and comfort, with modern sit/stand desks and complimentary cold brew available to fuel your day.
What you need to know about the Austin Tech Scene
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
