Sr Machine Learning Engineer, Search @ Realtor.com Careers
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About Realtor.com®
Recognized as the No. 1 site trusted by real estate professionals for over 25 years, Realtor.com® connects buyers, sellers, and renters with trusted insights and expert guidance. The platform processes terabytes of data daily to power intelligent search and personalized recommendations for millions.
Job Overview
As a Senior Machine Learning Engineer, Search, you will redefine real estate search by shaping the intelligence behind search ranking and relevance models using state-of-the-art ML techniques.
Key Responsibilities
- Design, build, and optimize machine learning models for search ranking and relevance.
- Develop advanced recommendation algorithms based on user behavior.
- Create and optimize ETL pipelines to process massive datasets.
- Apply techniques in NLP, deep learning, and reinforcement learning.
- Deploy and optimize ML models in production environments using AWS, Docker, and distributed systems.
- Collaborate with engineering, product, and data science teams.
How We Work
Most roles require in-person collaboration at the office three or more days per week to bolster creativity and team synergy.
Qualifications
- PhD/MS in Computer Science, Statistics, Mathematics, or related fields.
- At least 2 years of relevant experience in machine learning or applied statistics.
- Expertise in Python, Spark, TensorFlow/PyTorch, and SQL.
- Proven experience with deploying ML models at scale using cloud platforms like AWS or Kubernetes.
- Strong problem-solving and communication skills.
Benefits
- Competitive medical, dental, and vision coverage.
- Family-forming benefits and paid time off programs.
- 401(k) plan with company match and financial planning sessions.
- Tuition reimbursement and student debt retirement savings match.
Key skills/competency
Senior Machine Learning Engineer, Search, Machine Learning, Search Ranking, Recommendation Systems, Python, AWS, NLP, Deep Learning, Data Pipelines
How to Get Hired at Realtor.com Careers
🎯 Tips for Getting Hired
- Customize your resume: Highlight real-world ML and search experiences.
- Showcase projects: Detail search ranking or recommendation systems work.
- Demonstrate tech skills: Emphasize Python, AWS, and TensorFlow proficiency.
- Prepare for interviews: Be ready to discuss ML algorithms in depth.