Added
12 days ago
Type
Full time
Salary
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Related skills

python machine learning statistical modeling uncertainty quantification production-grade software

πŸ“‹ Description

  • Design and implement production-grade ML systems for residential valuation.
  • Collaborate with tech leadership to develop valuation methodologies.
  • Translate research into scalable software.
  • Create evaluation frameworks for model performance and robustness.
  • Develop methods for rare properties, confidence, and uncertainty.
  • Build interpretable ML with transparent results.

🎯 Requirements

  • Strong ML and statistics background; apply advanced techniques to real problems.
  • Experience deploying production ML systems, not just research.
  • Excellent Python and software engineering fundamentals.
  • Experience with testing, version control, modular code, maintainable software.
  • Solid understanding of statistical modeling and interpretable ML.
  • Ability to reason from first principles and solve ambiguous problems.

🎁 Benefits

  • Compensation range of $225,000–$250,000 per year.
  • Work on high-impact ML systems for real estate valuation.
  • Direct collaboration with senior technical leadership.
  • Hands-on ownership of production ML systems.
  • Influence technical standards and long-term direction.
  • Opportunity for increased leadership as the team grows.
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