Remotely
pythonmachine learningsoftware engineeringstatisticsproductionoptimizationinterpretabilityuncertainty estimation
Job Description
📋 Description
- Design, develop, and implement production-quality statistical and machine learning systems for
- Partner with technical leadership to develop valuation methodologies and solve challenging
- Translate research concepts into scalable, production-ready software.
- Design evaluation frameworks to measure model performance, reliability, and robustness.
- Develop methodologies for complex use cases, including uncertainty estimation and confidence
- Build interpretable ML systems with transparent results for consumers and professionals.
🎯 Requirements
- Strong ML and statistics background with experience applying advanced analytics to complex problems.
- Production-quality ML system development and deployment experience.
- Excellent Python programming and strong software engineering fundamentals.
- Experience with testing, version control, modular architecture, maintainable code.
- Solid understanding of statistical modeling, interpretable ML, optimization, and model evaluation.
- Ability to reason from first principles and tackle open-ended problems.
🎁 Benefits
- Compensation range of $225,000–$250,000 per year.
- Opportunity to work on high-impact ML systems in residential real estate valuation.
- Direct collaboration with senior technical leadership on challenging problems.
- Hands-on ownership of production ML systems and valuation methodologies.
- Influence on technical standards, engineering practices, hiring, and long-term direction.
- Potential for increased leadership responsibilities as the team expands.
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