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

Job description

The Role

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.

Responsibilities

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 frameworks and working with real-world, imperfect datasets

Motivated by applying AI to solve meaningful healthcare problems

Bonus

Experience with clinical decision support and physiological or medical time-series data

Familiarity with clinical workflows or patient monitoring

Experience with FDA-regulated or other regulated development environments

Experience building data platforms, feature stores, or MLOps infrastructure to support ML development and experimentation

Contributions to research publications, open-source projects, or industry thought leadership

Why Join Us?

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you’ll discover a culture in which you can learn, grow and thrive.

We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.

To learn more about BD visit https://bd.com/careers .

Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation,