Added
6 days ago
Type
Full time
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Related skills

python machine learning statistical modeling production systems interpretability
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πŸ“‹ Description

  • Design and deploy production ML systems for residential property valuation.
  • Collaborate with leadership to develop valuation methodologies.
  • Translate research ideas into scalable production software.
  • Build evaluation frameworks for model performance and robustness.
  • Implement uncertain estimation and interpretable ML systems.
  • Work with software engineers to integrate analytics into production.

🎯 Requirements

  • Strong ML and statistics background.
  • Experience deploying production ML systems.
  • Excellent Python and software engineering fundamentals.
  • Testing, version control, modular architecture, maintainable code.
  • Rigorous model evaluation and uncertainty estimation.
  • Clear communication and collaboration; mentoring; leadership mindset.

🎁 Benefits

  • Compensation $225,000–$250,000 per year.
  • High-impact work in residential real estate valuation.
  • Direct collaboration with senior technical leadership.
  • Ownership of production ML systems and valuation methodologies.
  • Opportunity to influence technical standards and hiring.
  • Potential for increased leadership as team grows.
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