Pennsylvania Medicine

Senior Machine Learning Software Engineer

Pennsylvania Medicine • $120K — $145K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field focusing on machine learning or data science required.
  • 3+ years of software engineering experience to support ML model development and deployment.
  • Proven ability to lead and execute moderately complex projects with minimal oversight required.
  • 1+ years of healthcare analytics experience preferred.

Responsibilities

  • Leverage proprietary and open-source tools to develop ML systems and software applications.
  • Design and implement scalable and modular software architectures for maintainability and extensibility.
  • Develop technical standards for deploying and monitoring ML models in healthcare applications.
  • Build robust data pipelines for model development, validation, and deployment with ML and data engineers.
  • Collaborate with multidisciplinary teams to define project requirements and develop impactful solutions.
  • Demonstrate commitment to continuous learning regarding ML trends and technologies.
  • Optimize team processes and workflows for improved performance.

Benefits

  • Comprehensive compensation and benefits program.
  • Prepaid tuition assistance program ranked among the best in the region.
  • Focus on employee health and wellness through various initiatives.
Full Job Description
Entity: Corporate Services

Department: PennDNA Data Science

Location: 3600 Civic Center Blvd, Philadelphia, PA

Hours: Remote, M-F, 9-5.

Summary:

Working with a team of data scientists and ML engineers, the Senior Machine Learning Software Engineer is responsible for the development, implementation, and maintenance of cutting-edge software for machine learning models and algorithms. The goal is to drive impactful insights and solutions across various healthcare domains, such as enhancing patient care, operational efficiency, and research endeavors. The ideal candidate will be a seasoned software engineer with experience in machine learning infrastructure and healthcare data. The Senior ML Software Engineer is both a member of a team, has expertise in one or more sub-domains, triages and refines requests, leads moderately complex projects and mentors more junior members of the team.

Responsibilities:

  • 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. Develop integrations with health system applications (e.g. Epic), systems and both on-prem and cloud infrastructure. Responsible for continuous integration and continuous delivery of production code. Independently lead and execute moderately complex projects with minimal oversight.
  • Model Deployment and Monitoring: Develop and enforce the technical standards for deployment of machine learning models for healthcare applications. Contribute to the deployment and monitoring of ML capabilities based on emerging technologies, trends and methodologies. Lead the design and development of tools for active monitoring of models and ML applications. Help maintain and optimize production models and applications.
  • Data Sourcing and Integration: Work with ML and data engineers to build robust and maintainable data pipelines for model development, validation, and deployment. Ensure seamless data integration and flow with health system applications that supports the scalability and efficiency of ML models and analytics platforms.
  • 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. 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. Provide subject matter expert review, guidance and consultation.
  • Continuous Improvement: Demonstrate a commitment to continuous learning and professional development. Stay current with emerging industry trends, best practices, and technologies in ML software engineering. Model a culture of performance excellence both within team and across the enterprise. Look for opportunities to optimize the team's processes and workflows.

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.
  • Proven track record of leading and executing moderately complex projects with minimal oversight is required.
  • 1+ years healthcare analytics experience is preferred.

We believe that the best care for our patients starts with the best care for our employees. 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. Penn Medicine employees are actively engaged and committed to our mission. Together we will continue to make medical advances that help people live longer, healthier lives.

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About Pennsylvania Medicine

The University of Pennsylvania is a private Ivy League research university in Philadelphia. It is the fourth-oldest institution of higher education in the United States and is ranked among the highest-regarded universities by numerous organizations and scholars. While the university dates its founding to 1740, it was created by Benjamin Franklin and leading Philadelphia citizens in 1749 . The University has four undergraduate schools as well as twelve graduate and professional schools. Schools enrolling undergraduates include the College of Arts and Sciences, the School of Engineering and Applied Science, the Wharton School, and the School of Nursing. Among its highly ranked graduate schools are its law school, whose first professor wrote the first draft of the United States Constitution, its medical school, the first in North America, and Wharton, the first collegiate business school. Penn's endowment is US$20.7 billion, putting it amongst the wealthiest academic institutions in the world, and its 2019 research budget was $1.02 billion. Penn was one of nine colonial colleges chartered before the U.S. Declaration of Independence when Benjamin Franklin, the university's founder and first president, advocated for an educational institution that trained leaders in academia, commerce, and public service. The campus, in the University City neighborhood of Philadelphia, is centered around College Hall, and notable landmarks are Houston Hall, the first modern "student union", and Franklin Field, the first double-decker college football stadium. Penn also is the home of the Morris Arboretum, the official arboretum of the Commonwealth of Pennsylvania, which is located 15 miles northwest of the campus, in the Chestnut Hill section of Philadelphia. The university's athletics program, the Quakers, fields varsity teams in 33 sports as a member of the NCAA Division I Ivy League conference.
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