Remotely
pythonmachine learningstatisticsproductiondataoptimizationuncertainty quantification
Job Description
📋 Description
- Design, develop, and implement production ML systems for real estate valuation.
- Partner with leadership to create valuation methodologies.
- Translate ideas into scalable, production-ready software.
- Design evaluation frameworks for model performance and robustness.
- Develop methods for rare cases, confidence estimation, and uncertainty.
- Build interpretable ML systems for transparency to users.
🎯 Requirements
- Strong ML and statistics background with production experience.
- Proven track record delivering production ML systems.
- Excellent Python and software engineering fundamentals.
- Experience with testing, version control, modular design.
- Deep understanding of statistical modeling and model evaluation.
- Strong problem-solving and communication skills.
🎁 Benefits
- Compensation range of $225,000–$250,000 per year.
- Work on high-impact ML systems in real estate valuation.
- Collaborate with senior leadership on challenging problems.
- Hands-on ownership of production ML systems.
- Influence technical standards and team direction.
- Opportunities for expanded leadership as the team grows.
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