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.
What You’ll Do As a Senior Machine Learning Engineer, you’ll take a leadership role in developing and deploying state-of-the-art machine learning solutions that power Realtor.com’s products and business strategy. You’ll be building intelligent systems that optimize pricing, forecasting, and recommendation engines—improving our understanding of our entire customer portfolio and driving revenue growth.
Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization.
Develop scalable, production‑ready ML models that power key business initiatives, including monetization, pricing optimization, and intelligent recommendations.
Experiment and innovate—leverage AI to enhance customer insights and improve home search and listing experiences.
Mentor a team of talented machine learning engineers, guiding them in best practices for model development, deployment, and optimization.
Collaborate with cross‑functional teams, including product managers, analysts, data engineers, and leadership, to identify high‑impact opportunities and translate them into AI‑driven solutions.
Deploy models at scale using modern cloud platforms (AWS/GCP), containerization (Docker), and ML frameworks like TensorFlow, PyTorch, or JAX.
Top Reasons to Apply
Innovative Impact:
Lead the full ML lifecycle to design and deploy cutting‑edge models that directly drive revenue and improve customer experiences.
Technical Excellence:
Tackle complex, industry‑leading challenges using modern cloud platforms and ML frameworks while growing your expertise.
Empowering Culture:
Mentor talented engineers in an environment where people are our foundation and you’re trusted to own and innovate.
How We Work We balance creativity and innovation on a foundation of in‑person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in‑person, adding richness to our culture and knitting us closer together.
What You’ll Bring
Expertise in Applied ML – PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, forecasting, recommendation systems, or related ML applications. Experience with causal ML is a plus.
Production ML Experience – Hands‑on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar.
Extensive Technical Skills – Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL. Experience with large‑scale distributed systems is a plus.
Strong Creative Thinking & Problem‑Solving Skills – Passion for tackling complex business challenges, improving customer experience, and driving measurable impact.
Excellent Communication – Ability to articulate ML concepts to both technical and non‑technical stakeholders.
Why Join Us?
Real‑World Impact: Your models will directly drive revenue and shape how millions of users find success with connections from Realtor.com.
Technical Challenges: Work on some of the toughest ML optimization and AI challenges in real estate.
Growth & Leadership: Play a key role in mentoring and shaping the ML strategy for a growing team.
Culture of Innovation: We foster an agile, experimentation‑driven culture that rewards curiosity and bold ideas.
Best‑in‑Class Benefits: Medical, dental, 401(k) match, tuition reimbursement, unlimited PTO, and more.
How we Reward you Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
Inclusive and Competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 Paid Holidays
Flexible Time Off
8 hours of paid Volunteer Time off
Immediate eligibility into Company 401(k) plan with 3.5% company match
Tuition Reimbursement program for degreed and non‑degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location
Join Us & Shape the Future of Real Estate AI! If you’re excited about building AI‑driven solutions that revolutionize real estate, apply today!
Legal Information 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.
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What You’ll Do As a Senior Machine Learning Engineer, you’ll take a leadership role in developing and deploying state-of-the-art machine learning solutions that power Realtor.com’s products and business strategy. You’ll be building intelligent systems that optimize pricing, forecasting, and recommendation engines—improving our understanding of our entire customer portfolio and driving revenue growth.
Own the full ML lifecycle: from data exploration to model development, deployment, and continuous optimization.
Develop scalable, production‑ready ML models that power key business initiatives, including monetization, pricing optimization, and intelligent recommendations.
Experiment and innovate—leverage AI to enhance customer insights and improve home search and listing experiences.
Mentor a team of talented machine learning engineers, guiding them in best practices for model development, deployment, and optimization.
Collaborate with cross‑functional teams, including product managers, analysts, data engineers, and leadership, to identify high‑impact opportunities and translate them into AI‑driven solutions.
Deploy models at scale using modern cloud platforms (AWS/GCP), containerization (Docker), and ML frameworks like TensorFlow, PyTorch, or JAX.
Top Reasons to Apply
Innovative Impact:
Lead the full ML lifecycle to design and deploy cutting‑edge models that directly drive revenue and improve customer experiences.
Technical Excellence:
Tackle complex, industry‑leading challenges using modern cloud platforms and ML frameworks while growing your expertise.
Empowering Culture:
Mentor talented engineers in an environment where people are our foundation and you’re trusted to own and innovate.
How We Work We balance creativity and innovation on a foundation of in‑person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in‑person, adding richness to our culture and knitting us closer together.
What You’ll Bring
Expertise in Applied ML – PhD/MS in computer science, statistics, mathematics, operations research or related fields and 2 years of relevant experience in data science, machine learning or applied statistics, with a strong background in information retrieval, forecasting, recommendation systems, or related ML applications. Experience with causal ML is a plus.
Production ML Experience – Hands‑on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar.
Extensive Technical Skills – Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL. Experience with large‑scale distributed systems is a plus.
Strong Creative Thinking & Problem‑Solving Skills – Passion for tackling complex business challenges, improving customer experience, and driving measurable impact.
Excellent Communication – Ability to articulate ML concepts to both technical and non‑technical stakeholders.
Why Join Us?
Real‑World Impact: Your models will directly drive revenue and shape how millions of users find success with connections from Realtor.com.
Technical Challenges: Work on some of the toughest ML optimization and AI challenges in real estate.
Growth & Leadership: Play a key role in mentoring and shaping the ML strategy for a growing team.
Culture of Innovation: We foster an agile, experimentation‑driven culture that rewards curiosity and bold ideas.
Best‑in‑Class Benefits: Medical, dental, 401(k) match, tuition reimbursement, unlimited PTO, and more.
How we Reward you Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:
Inclusive and Competitive medical, Rx, dental, and vision coverage
Family forming benefits
13 Paid Holidays
Flexible Time Off
8 hours of paid Volunteer Time off
Immediate eligibility into Company 401(k) plan with 3.5% company match
Tuition Reimbursement program for degreed and non‑degreed programs
1:1 personalized Financial Planning Sessions
Student Debt Retirement Savings Match program
Free snacks and refreshments in each office location
Join Us & Shape the Future of Real Estate AI! If you’re excited about building AI‑driven solutions that revolutionize real estate, apply today!
Legal Information 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.
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