Remotely
pythonmachine learningdatastatistical modelingproduction systemsinterpretabilityuncertainty estimation
Job Description
📋 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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