Senior 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   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.

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