Senior AI Engineer: Clinical ML for Patient Monitoring

Becton, Dickinson and Company; Irvine (CA); On-site; USD 130,000 - 207,000; Full time

Job summary

BD's Applied ML/AI Algorithms team seeks a Principal Engineer to develop and deploy advanced ML/AI models for physiological signal understanding and clinical decision support. This senior individual contributor role translates research-grade models into robust, production-ready systems for real-world clinical constraints and needs.

You will lead algorithm innovation, establish engineering best practices, and collaborate with data, product, systems, and clinical teams to deliver solutions that

Qualifications

• 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.
• Strong experience developing AI/ML solutions using Python-based frameworks and libraries (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, 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.
• Familiarity with clinical workflows or patient monitoring
• Experience with FDA-regulated or other regulated development environments

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

Skills

AI/ML development

Python ecosystem

MLOps

Cloud/edge deployment

AI/ML research

Education

PhD

MS

BS

Tools

TensorFlow

PyTorch

CI/CD

Job description

BD's Applied ML/AI Algorithms team seeks a Principal Engineer to develop and deploy advanced ML/AI models for physiological signal understanding and clinical decision support. This senior individual contributor role translates research-grade models into robust, production-ready systems for real-world clinical constraints and needs.

You will lead algorithm innovation, establish engineering best practices, and collaborate with data, product, systems, and clinical teams to deliver solutions that