Shape critical models like the Franchise Readiness Score with a fully remote role. Focus on fairness, explanation, and accuracy to make impactful decisions.
As a Lead Machine Learning Engineer, you will own the end-to-end development of key models while ensuring their reliability and fairness. The position prioritizes your expertise in applied machine learning and your ability to communicate complex predictions effectively. This role requires a solid grasp of model evaluation, bias auditing, and working within real-world constraints.
Key Responsibilities:
• Own the Franchise Readiness Score and Compatibility Index models
• Build calibration and drift monitoring systems
• Ensure every model dimension is explainable
• Audit for proxy bias in model performance
• Collaborate with domain rules for accurate scoring
Requirements:
• Experience in applied machine learning
• Proven ability to deploy models to production
• Proficiency in explaining predictions clearly
• Strong evaluation design skills
• Comfort with admitting scoring limitations
Bring your expertise in machine learning to impact decisions on a large scale.
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