Senior Engineer – Applied ML/AI Algorithms R&D Advanced Patient Monitoring
Listed on 2026-09-17
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
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 Med Tech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.
Job Description The TeamThe 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 RoleWe 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.
ResponsibilitiesDevelop AI/ML algorithms from early exploration through production deployment and commercialization
Contribute to technical execution across projectsspanningdata analyses and engineering to modeling
Translate clinical and product requirements into practical AI/ML solutions
Design, implement, andvalidatereliable and deployable AI/ML models
Contribute to experimentation platforms,MLOpsinfrastructure, 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
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
Experience developing AI/ML solutions using Python-based frameworks and libraries (e.g., Tensor Flow,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
Experience with clinical decision support and physiological or medical…
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