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.
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, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.
Required Skills
Optional Skills
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Primary Work Location
USA CA - Irvine Laguna CanyonAdditional Locations
Work Shift


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Our salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, contribute to the range displayed.
Our pay is based on the role and the necessary skills and education to perform it successfully. The salary or hourly rate offered is determined by the role's specific requirements, including any applicable step rate pay system at the work location. Salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role.
Salary Range Information
$129,600.00 - $207,400.00 USD Annual