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. 

The Role 

We are seeking a Senior Principal Engineer to lead the development and deployment of 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 leadership responsibility. You will drive end-to-end development—from algorithm design and modeling innovation through productionization in regulated environments—translating research-grade models into robust systems that meet real-world clinical constraints and needs. 

Beyond individual contributions, you will play a critical leadership role in shaping technical direction, mentoring engineers, and elevating the team’s engineering maturity. You will help define and build scalable experimentation pipelines, reproducible workflows, and MLOps practices that accelerate iteration while ensuring rigor and regulatory readiness. 

You will partner closely with data, product, and clinical teams to bridge the gap between research and product—building solutions that deliver meaningful, real-world clinical impact. 

Responsibilities 

• Lead the development of AI/ML algorithms from early exploration through production, driving clinically impactful outcomes  

• Set technical direction across projects, influencing strategy across modeling, data, and product design 

• Translate clinical and product needs into scalable, real-world AI/ML solutions 

• Architect solutions that are reliable, efficient, and deployable in regulated, production environments 

• Build and scale experimentation and MLOps infrastructure to accelerate team’s velocity 

• Mentor engineers and elevate the technical bar across the organization 

• Partner with clinical, regulatory, and engineering teams to bring AI/ML solutions to market 

About You (Requirements) 

• PhD with 4+ years or MS with 7+ years