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Realtor.com Careers

Sr. Machine Learning Engineer

Realtor.com Careers
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about 4 hours ago

Responsibilities

  • Serve as a technical lead for key consumer-facing ML initiatives.
  • Design, build, and expose ML-powered capabilities through GraphQL APIs and REST endpoints.
  • Optimize high-performance recommender systems and personalization features.
  • Build and maintain CI/CD pipelines and MLOps workflows.
  • Develop AI-native and GenAI-powered services to enhance consumer experience.
  • Own the design and development of data pipelines and ML model integration.
  • Drive API design best practices across the team.
  • Collaborate with cross-functional teams to define clear API contracts.
  • Mentor and coach engineers on best practices and MLOps principles.
  • Contribute to the long-term technical roadmap and drive innovation.

Requirements

  • 7+ years of software engineering experience with a focus on consumer-facing ML products.
  • Strong hands-on experience with GraphQL and federated GraphQL schema design.
  • Deep experience in designing and building RESTful and event-driven APIs.
  • Hands-on experience with MLOps tooling such as Metaflow and ArgoCD.
  • Strong experience with cloud-native architectures on AWS and Kubernetes.
  • Proficient in designing data pipelines and integrating ML models into applications.
  • Proven experience with LLMs, RAG, and GenAI in consumer products.
  • Strong communication and collaboration skills.
  • Experience with recommender systems or personalization is a plus.
  • Bachelor's or Master's degree in Computer Science, Engineering, or equivalent.

Benefits

  • Inclusive and competitive medical, Rx, dental, and vision coverage.
  • Family forming benefits.
  • 13 paid holidays and flexible time off.
  • 8 hours of paid volunteer time off.
  • Immediate eligibility into the company 401(k) plan with a 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.

Tech Stack

Categories

AI & MLBackendData Engineering