About the Role
The Machine Learning Engineer will design, implement, and deploy machine learning models to address complex challenges in healthcare delivery. This role involves close collaboration with data scientists, engineers, and clinical stakeholders to translate real-world problems into scalable technical solutions.
Responsibilities
- Develop and deploy machine learning models to support healthcare decision-making
- Collaborate with cross-functional teams to identify opportunities for data-driven improvements
- Translate clinical and operational challenges into technical requirements
- Design and manage data pipelines for model training and inference
- Evaluate model performance using appropriate statistical and clinical metrics
- Ensure models comply with regulatory and privacy standards
- Optimize algorithms for accuracy, scalability, and efficiency
- Integrate machine learning systems into existing healthcare platforms
- Monitor deployed models for performance degradation and data drift
- Document methodologies, assumptions, and model limitations
- Participate in code reviews and technical design discussions
- Stay current with advancements in machine learning and healthcare applications
- Support validation and audit processes for regulatory compliance
- Work with large, complex datasets including electronic health records
- Apply best practices in version control and model reproducibility
- Contribute to the development of internal tools and frameworks
- Assist in defining data governance policies for machine learning projects
- Communicate technical concepts to non-technical stakeholders
- Troubleshoot issues in model development and deployment workflows
- Support the ethical use of AI in clinical settings
Nice to Have
- Advanced degree in data science, computer science, or related field
- Proven track record of deploying machine learning models in production
- Experience with real-time inference systems
- Knowledge of HIPAA and healthcare data security standards
- Background in clinical informatics or health services research
- Familiarity with FHIR or other healthcare data standards
- Experience in an academic medical center or hospital system
Compensation
Competitive salary and benefits package offered
Work Arrangement
Hybrid work model with flexibility for remote and on-site work
Team
Collaborative environment within a healthcare-focused technology team
About the Team
This role is part of a growing analytics and AI team focused on transforming healthcare delivery through innovation. The team works on high-impact projects that span clinical decision support, operational efficiency, and patient engagement.
Why This Role Matters
Your work will directly influence how care is delivered, helping clinicians make better decisions and improving outcomes for diverse patient populations through responsible AI.
Visa sponsorship may be available for qualified candidates
