Sr Machine Learning Engineer, Customer

We’re looking for a Senior Machine Learning Engineer to help redefine how search works in real estate. You’ll play a key role in shaping the intelligence behind our search ranking and relevance models, leveraging state-of-the-art machine learning techniques to improve how users interact with our platform. If you’re passionate about applied AI, big data, and building cutting-edge ML solutions that have real-world impact, we’d love to hear from you!

Three Reasons to Apply:

• Opportunity to transform real estate search using cutting-edge ML techniques
• Work on high-impact projects serving millions of users daily
• Collaborate across teams to shape innovative search-driven experiences

What You’ll Do:

• Transform Search with ML – Design, build, and optimize machine learning models that power our core search ranking and relevance systems, ensuring users find the most relevant listings effortlessly.
• Enhance Personalization – Develop advanced recommendation algorithms to tailor search results based on user behavior, preferences, and intent.
• Build Data Pipelines at Scale – Create and optimize ETL pipelines to process massive datasets, making real-time search intelligence possible.
• Leverage the Latest in AI – Apply state-of-the-art techniques in NLP, deep learning, and reinforcement learning to enhance search relevance, query understanding, and ranking.
• Deploy & Optimize in Production – Take ML models from experimentation to production using AWS, Docker, and scalable distributed systems.
• Collaborate Across Teams – Work closely with engineering, product, and data science teams to define new search-driven experiences and ensure seamless deployment of ML solutions.

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 ML & Search – 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, search ranking, recommendation systems, or related ML applications.
• Extensive Technical Skills – Proficiency in Python, Spark, TensorFlow/PyTorch, and SQL. Experience with large-scale distributed systems is a plus.
• Production ML Experience – Hands-on experience deploying ML models at scale using cloud platforms like AWS, Kubernetes, or similar.
• Strong Creative Thinking & Problem-Solving Skills – Passion for tackling complex search and ranking challenges, improving user experience, and driving measurable impact.
• Excellent Communication – Ability to articulate ML concepts to both technical and non-technical stakeholders.