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

Becton Dickinson USA CA - Irvine Laguna Canyon Updated 30 August 2026
MedTech

Job description



 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 Senior 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 hands-on technical role focused on the design, development, and deployment of AI/ML solutions. You will contribute to the development of algorithms and software systems that translate research-grade models into robust solutions that meet real-world clinical constraints and needs. You will work closely with data, product, systems, and clinical teams to develop and validate AI/ML solutions, contribute to scalable experimentation and development workflows, and help bring clinically impactful technologies from concept to product. Responsibilities Develop AI/ML algorithms from early exploration through production deployment and commercialization Contribute to technical execution across projects spanning data analyses and engineering to modeling Translate clinical and product requirements into practical AI/ML solutions Design, implement, and validate reliable and deployable AI/ML models Contribute to experimentation platforms, MLOps infrastructure, and development workflows that improve team velocity and reproducibility Collaborate with engineers and cross-functional stakeholders to promote engineering best practices Partner with clinical, regulatory, systems, and product teams to bring AI/ML solutions to market About You (Requirements) PhD with 0+ years, MS with 3+ years, or BS with 4+ years of experience in AI/ML, data science, software engineering, or a related field Experience developing and deploying applied AI, machine learning, LLM/LMM, agentic, or other decision and recommendation systems Ability to independently execute technical projects and collaborate effectively within cross-functional teams E xperience 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 systems using modern engineering practices, including version control, testing, code review, CI/CD, and collaborative development workflows Experience designing model and data evaluation approaches and working with real-world, imperfect datasets Strong problem-solving and software engineering skills 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, affectiona

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