Principal Engineer – Applied ML/AI Algorithms R&D for Advanced Patient Monitoring



 We are the people who give possibilities purpose BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. 

 Job Description The Team   The Applied ML/AI Algorithms team leads the development of advanced algorithms that power BD Advanced Patient   Monitoring’s   next generation of clinically impactful products. We focus on transforming physiological signal data into actionable insights that improve patient monitoring, enable earlier intervention, and drive better outcomes.   This team   operates   at the intersection of research, product, and clinical translation. We partner closely with engineering, clinical, regulatory, and product teams to bring AI/ML innovations from concept to FDA-cleared, production-grade solutions.   We emphasize rigorous science, practical product thinking, and a shared commitment to improving patient outcomes—accelerating innovation without compromising quality or clinician trust.

We are seeking a Principal Engineer   to develop and deploy advanced ML/AI models, including multimodal and foundation-model–inspired approaches, for physiological signal understanding and clinical decision support.   This is a senior individual contributor role with significant technical responsibility. You will lead the development of AI/ML solutions from concept through deployment, translating research-grade models into robust systems that meet real-world clinical constraints and needs.   You will play a key role in advancing the team's technical capabilities by driving algorithm innovation,   establishing   engineering best practices, and contributing to scalable experimentation, reproducible workflows, and   MLOps   infrastructure. You will work closely with data, product, systems, and clinical teams to bridge the gap between research and product development, helping deliver solutions that create meaningful clinical impact.

Lead the development of AI/ML algorithms from early exploration through production deployment and commercialization, driving clinically meaningful outcomes   Drive technical execution across complex projects spanning modeling, data, and software systems   Translate clinical and product requirements into scalable AI/ML solutions   Design solutions that are reliable, efficient, and deployable in regulated production environments   Contribute to experimentation platforms,   MLOps   infrastructure, and development workflows that improve team velocity and reproducibility   Mentor engineers and promote engineering best practices through technical leadership and collaboration   Partner with clinical, regulatory, systems, and product teams to bring AI/ML solutions to market     About You (Requirements)   PhD with 2+ years, MS with 5+ years, or BS with 6+ years   of experience in AI/ML, data science, or software engineering   Experience developing and deploying applied AI, machine learning, LLM/LMM, agentic, or other decision and recommendation systems   Demonstrated ability to   drive and execute on   complex technical   and cross-functional   projects in ambiguous problem spaces   Strong   experience   developing AI/ML solutions using Python-based frameworks and libraries   ( e.g.   TensorFlow,   PyTorch ) , including shipping   models across cloud and/or edge/embedded environments   Experience developing production-grade   ML/DL/AI   models using modern engineering practices, including version control, testing, code review, CI/CD, and collaborative development workflows   Experience designing robust   model and data   evaluation