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Realtor.com Logo

Principal Machine Learning Engineer, Search

Realtor.com

Salary not specified
Sep 10, 2025
Austin, TX, US
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Realtor.com is seeking to revolutionize the way people find and secure their dream homes by leveraging machine learning to enhance search and personalization, making the real estate process easier and more efficient for millions of users.

Requirements

  • Advanced Expertise in ML & Search - Masters/PhD in computer science, statistics, mathematics, operations research or related fields and 8+ years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, search ranking, recommendation systems, or related ML applications.
  • Extensive Technical Leadership - Proven track record of leading large-scale ML projects and driving technical strategy in search or related domains.
  • Comprehensive Technical Skills - Advanced knowledge of Python, TensorFlow/PyTorch, and SQL. Extensive experience working with large-scale distributed systems and cloud platforms (e.g., AWS). Hands-on experience with search engines, such as Elasticsearch, and experience with vector search and embedding models (e.g., dense retrieval, BERT-based architectures).
  • Production ML Mastery - Significant experience designing and deploying ML models at scale using cloud platforms (e.g., AWS, Kubernetes). Experience deploying ML models in low-latency, production environments.
  • Innovative Problem-Solving Skills - Demonstrated ability to tackle complex search and ranking challenges, improve user experience, and drive measurable impact through ML solutions.
  • Excellent Communication & Leadership - Ability to articulate complex ML concepts to both technical and non-technical stakeholders, and to lead and inspire cross-functional teams.
  • Industry Recognition - Publications, patents, or notable contributions to the field of machine learning, information retrieval, or search technologies.

Responsibilities

  • Lead Search Transformation with ML - Architect, design, and oversee the development of advanced machine learning models that power our core search ranking and relevance systems, ensuring users find the most relevant listings effortlessly.
  • Drive Personalization Strategy - Spearhead the development of sophisticated recommendation algorithms to tailor search results based on user behavior, preferences, and intent.
  • Architect Scalable Data Pipelines - Design and optimize high-performance ETL pipelines to process massive datasets, enabling real-time search intelligence at scale.
  • Pioneer AI Innovation - Lead the application of cutting-edge techniques in NLP, deep learning, and reinforcement learning to enhance search relevance, query understanding, and ranking.
  • Guide Experimentation & Iteration - Oversee the design, implementation, and analysis of A/B tests and multivariate experiments to continuously refine our models and improve key engagement metrics.
  • Lead Production Deployment & Optimization - Architect and guide the deployment of ML models from experimentation to production using AWS, Docker, and scalable distributed systems.
  • Foster Cross-Functional Collaboration - Work closely with engineering, product, and data science teams to define new search-driven experiences and ensure seamless deployment of ML solutions.

Other

  • Mentor and Develop Talent - Provide technical leadership and mentorship to junior team members, fostering a culture of innovation and continuous learning.
  • For most roles, employees work three or more days in our offices, where they have the opportunity to collaborate in-person.
  • 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.
  • Realtor.com® will provide reasonable accommodations for otherwise qualified disabled individuals.
  • Masters/PhD in computer science, statistics, mathematics, operations research or related fields.