Realtor.com Careers
Sr. Machine Learning Engineer
Austin, Texas, United States · Senior
Sponsorship not specifiedDetected 14 days ago
Backend DevelopmentFull-Stack DevelopmentAWSKubernetesCI/CDAPI DevelopmentGraphQLRESTMachine LearningData EngineeringData ScienceLLMsRAGMLOpsCommunicationCollaboration
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.
- Work at the intersection of consumer product engineering and cutting-edge ML owning both the user-facing surface and the ML infrastructure behind it
Responsibilities
- 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
- 7+ years of software engineering experience, with specific expertise in building consumer-facing products powered by ML models
- 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
Requirements
- Strong hands-on experience with GraphQL - including federated GraphQL / schema design, and building subgraphs consumed by web and mobile clients
- 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
- Bachelor's or Master's degree in Computer Science, Engineering, or equivalent professional experience.
Nice to have
- Proven experience building with LLMs, RAG, and GenAI - shipping these capabilities into consumer products is required, not a plus
- Experience with recommender systems, personalization, or search ranking is a strong plus
Skills
- Recognized as the No.
Benefits
- Inclusive and Competitive medical, Rx, dental, and vision coverage
- Family forming benefits
- Flexible Time Off
- 8 hours of paid Volunteer Time off
- Tuition Reimbursement program for degreed and non-degreed programs
- Student Debt Retirement Savings Match program
- Realtor.com® is committed to investing in the health and wellbeing of our employees and their families.
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