At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world.

A Day in the Life

At Medtronic, we bring bold ideas forward with speed and decisiveness to put patients first in everything we do. In-person exchanges are invaluable to our work. We’re working a minimum of 4 days a week onsite as part of our commitment to fostering a culture of professional growth and cross-functional collaboration as we work together to engineer the extraordinary.

Medtronic Cardiac Rhythm Management (CRM) AI Research group develops the next-generation technologies that revolutionize the care of millions of patients worldwide. Our products range from complex cloud-based information processing at massive scale to efficient algorithms controlling the real-time operation of implanted cardiac devices. 
 

We are looking for data scientists who bring fresh ideas from all areas, including artificial intelligence, computer vision, signal processing, natural language processing, information retrieval, distributed computing, UI design, and mobile applications. 
 

As a Principal AI/Data Science Engineer, you will work on multiple projects critical to the needs of Medtronic’s CRM operating unit. Our engineers need to be versatile, display leadership qualities, and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. 
 

In general, the following responsibilities apply for the Principal AI/Data Science Engineer role. This includes, but is not limited to the following: 

• Design, build, train, and test AI/ML models. 

• Perform complex data engineering and data wrangling tasks requiring an attention-to-detail and curiosity to learn the intricacies of product data ecosystems. 

• Develop software tools to support early feasibility research and prototype new features. 

• Work closely with Project Managers, Research Scientists, and fellow AI/Data Science Engineers to frame problems within the business context. 

• Analyze experimental and observational data, communicate findings, and facilitate product design decisions. 

 

MUST HAVE - MINIMUM REQUIREMENTS: 

• Bachelor’s degree with 7 years of relevant experience, or advanced degree with 5 years of relevant experience. 
   

Nice to Have 

• Degree focus in Computer Science, Statistics, Biomedical Engineering, or related technical field.   

• Advanced experience with building AI architectures: Convolutions, Residuals, Recurrence, Transformers, and LLMs. 

• Extensive knowledge of AI/ML evaluation metrics and best practices and of AI/ML libraries, such as PyTorch, Tensorflow, and Scikit-Learn. 

• Software skills including coding expertise (Python, Javascript), web frameworks (Django, Flask), and version control systems (Azure DevOps, Github). 

• Experience in AWS cloud computing, particularly in app deployment and scalable solutions, which include EC2, EKS,