Job Description
Lead innovations in health technology as a Senior Machine Learning Engineer. Develop ML systems that process large-scale health datasets to provide actionable insights, enhancing user health management strategies.
In this position, you’ll work within a pioneering lab focused on synthesizing data to predict health outcomes. Your expertise in building, evaluating, and deploying ML models will ensure the systems are both effective and suitable for use in sensitive healthcare environments. Collaboration with a multidisciplinary team will be essential for success.
Key Responsibilities:
• Create and refine machine learning models for health data
• Collaborate to translate healthcare data into actionable ML features
• Manage the full model lifecycle from training to monitoring
• Implement modeling approaches for dynamic healthcare data
• Ensure model evaluations prioritize interpretability and reliability
Requirements:
• 3+ years of practical ML systems experience
In this position, you’ll work within a pioneering lab focused on synthesizing data to predict health outcomes. Your expertise in building, evaluating, and deploying ML models will ensure the systems are both effective and suitable for use in sensitive healthcare environments. Collaboration with a multidisciplinary team will be essential for success.
Key Responsibilities:
• Create and refine machine learning models for health data
• Collaborate to translate healthcare data into actionable ML features
• Manage the full model lifecycle from training to monitoring
• Implement modeling approaches for dynamic healthcare data
• Ensure model evaluations prioritize interpretability and reliability
Requirements:
• 3+ years of practical ML systems experience