About The Role

The ML Platform team powers all machine learning experiences across Realtor.com® from personalization and recommendations to search ranking, pricing models, and generative AI. As a Senior Machine Learning Engineer, you'll take a leading technical role in building the consumer-facing products and backend services that bring these ML capabilities to millions of users. You'll own the full stack from ML model integration to production APIs, working closely with data scientists, ML engineers, and product teams to ship high-quality, high-impact experiences.

Three Reasons To Apply

• Build next-gen consumer experiences powered by personalization, recommendations, and GenAI for millions of users
• Work at the intersection of consumer product engineering and cutting-edge ML owning both the user-facing surface and the ML infrastructure behind it
• Drive the technical direction of a platform that powers every ML-powered feature across Realtor.com®

What You'll Do 

• Serve as a technical lead for key consumer-facing ML initiatives, owning architecture and design across the full stack — from ML model integration to production APIs and user-facing features
• Design, build, and expose ML-powered capabilities through GraphQL APIs and federated subgraphs, REST endpoints, and event-driven services consumed by web and mobile clients
• Design, build, and optimize high-performance recommender systems and personalization features, ensuring relevance, accuracy, and speed for millions of users
• Build and maintain CI/CD pipelines and MLOps workflows using Metaflow and ArgoCD, ensuring reliable, traceable model deployments to production
• Develop AI-native and GenAI-powered services — including LLM and RAG-based features — that directly improve the consumer experience
• Own the design and development of data pipelines and the integration of ML models into production web and mobile applications
• Drive API design best practices across the team — versioning, schema contracts, backwards compatibility, and cross-team API governance
• Drive performance optimizations across services, ensuring low latency and high availability at scale
• Collaborate with cross-functional teams — product, ML, data engineering, frontend, and analytics — to define clear API contracts and translate  requirements into scalable technical solutions
• Mentor and coach engineers on best practices, MLOps principles, GraphQL patterns, and production ML integration
• Contribute to the long-term technical roadmap, driving innovation and reducing technical debt

What You'll Bring

• 7+ years of software engineering experience, with specific expertise in  building consumer-facing products powered by ML models
• Strong hands-on experience with GraphQL — including federated GraphQL / schema design, and building subgraphs consumed by web and mobile clients
• Deep experience designing and building RESTful and event-driven APIs at scale, with a strong grasp of API contracts, versioning, and cross-team API  governance
• Hands-on experience with MLOps tooling — Metaflow, ArgoCD/Argo Workflows, and CI/CD pipelines for ML are required
• Strong experience with cloud-native architectures on AWS (Lambda, EC2, S3, EKS, or equivalents) and Kubernetes
• Proficient in designing and implementing data pipelines and integrating machine learning models into production, user-facing applications
• Proven experience building with LLMs, RAG, and GenAI — shipping these capabilities into consumer products is required, not a plus
• Strong communication and collaboration skills — able to drive technical alignment across ML, data science, product, frontend, and engineering teams
• Experience with recommender systems, personalization, or search ranking is a strong plus
• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent professional experience.

• 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