Remotely
pythonmachine learningmodel evaluationdatastatistical modelingproduction systemsuncertainty estimation
Job Description
📋 Description
- Design, develop, and implement production ML systems for residential property valuation.
- Partner with leadership to craft valuation methodologies and solve statistical problems.
- Translate research ideas into scalable, production-ready software.
- Develop evaluation frameworks to measure model performance and robustness.
- Build interpretable ML systems for transparency to users.
- Collaborate with software teams to integrate capabilities into production.
🎯 Requirements
- Strong ML and statistics background with practical results.
- Experience deploying production ML systems, not just research.
- Excellent Python programming and software engineering fundamentals.
- Experience with testing, VCS, modular architecture, maintainable code.
- Strong modeling, interpretable ML, optimization, evaluation.
- Ability to reason from first principles on open-ended problems.
🎁 Benefits
- Compensation range of $225,000–$250,000 per year.
- Work on high-impact ML systems in real estate valuation.
- Direct collaboration with senior technical leadership.
- Hands-on ownership of production ML systems and valuation methods.
- Opportunity to influence standards, hiring, and long-term direction.
- Potential for increased leadership as the team grows.
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