Remotely
pythonmachine learningsoftware engineeringstatisticsdataversion controlproduction mluncertainty estimation
Job Description
📋 Description
- Design, develop, and implement production ML systems for residential valuation.
- Partner with leadership to create innovative valuation methods.
- Translate research ideas into scalable production software.
- Design evaluation frameworks for model performance and robustness.
- Build interpretable ML systems for transparent results.
🎯 Requirements
- Strong ML and statistics background with real-world applications.
- Experience deploying production ML systems (not just research).
- Excellent Python programming and software engineering skills.
- Experience with testing, version control, modular architecture.
- Solid understanding of statistical modeling, interpretable ML, optimization.
- Able to reason from first principles and solve open-ended problems.
🎁 Benefits
- Opportunity to work on high-impact statistical systems.
- Direct collaboration with senior technical leadership.
- Hands-on ownership of production ML systems.
- Influence technical standards, hiring, and long-term direction.
- Potential for increased leadership responsibilities.
- Work on interpretable and explainable ML systems where transparency matters.
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