Senior Engineer Machine Learning in Healthcare

Position: Senior Engineer for Machine Learning in Healthcare
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

• Strong skills in Python and ML libraries (preferably PyTorch)

• Familiarity with healthcare data complexities

• Solid foundation in model validation and engineering

• Ability to work with cross-functional teams

Shape the future of healthcare through the application of machine learning, prioritizing user-centric designs and data integrity.
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