Penn Medicine

Senior Machine Learning Software Engineer

Philadelphia, Pennsylvania, USA · Senior · full-time

Sponsorship not specifiedDetected 134 days ago

CI/CDMachine LearningData EngineeringData ScienceEpicPatient CareResearchCollaboration

About the role

Working for this leading academic medical center means collaboration with top clinical, technical and business professionals across all disciplines.
Today at Penn Medicine, someone will make a breakthrough.
Our employees shape our future each day.

Systems and Software Engineering: Leverage proprietary and open-source tools and frameworks to develop ML systems and software applications.
Design and implement scalable and modular software architectures, emphasizing maintainability and extensibility.
Develop core capabilities for ML training, development, deployment and monitoring.
Independently lead and execute moderately complex projects with minimal oversight.
Lead the design and development of tools for active monitoring of models and ML applications.
Data Sourcing and Integration: Work with ML and data engineers to build robust and maintainable data pipelines for model development, validation, and deployment.
Collaboration: Collaborate with a multidisciplinary team, including data scientists, data and ML engineers, clinicians, administrators, and product managers to define project requirements and develop solutions that meet organizational needs.
Look for opportunities to optimize the team's processes and workflows.
Leverage proprietary and open-source tools and frameworks to develop ML systems and software applications.
Work with ML and data engineers to build robust and maintainable data pipelines for model development, validation, and deployment.

Bachelor's degree is required.
Proven track record of leading and executing moderately complex projects with minimal oversight is required.
We believe that the best care for our patients starts with the best care for our employees.

Contribute to the deployment and monitoring of ML capabilities based on emerging technologies, trends and methodologies.
Help maintain and optimize production models and applications.
Demonstrate a commitment to continuous learning and professional development.
Stay current with emerging industry trends, best practices, and technologies in ML software engineering.

Develop integrations with health system applications (e.g. Epic), systems and both on-prem and cloud infrastructure.
Ensure seamless data integration and flow with health system applications that supports the scalability and efficiency of ML models and analytics platforms.
Model Deployment and Monitoring: Develop and enforce the technical standards for deployment of machine learning models for healthcare applications.
This collaboration aims not only to advance healthcare technology but also to drive significant improvements in patient outcomes and operational efficiencies, demonstrating the tangible impact of our work.
Continuous Improvement: Demonstrate a commitment to continuous learning and professional development.
Education or Equivalent Experience: Bachelor's degree is required.
Computer science or a related field with a focus on machine learning or data science.
3+ years of experience and expertise in software engineering and infrastructure to support development and deployment of machine learning models and applications is required.
1+ years healthcare analytics experience is preferred.
Our employee benefits programs help our employees get healthy and stay healthy.
We offer a comprehensive compensation and benefits program that includes one of the finest prepaid tuition assistance programs in the region.
Together we will continue to make medical advances that help people live longer, healthier lives.

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This listing is sourced directly from Penn Medicine's careers page and normalized into a canonical job model.