The Team

The Applied ML/AI Algorithms team leads the development of advanced algorithms that power BD Advanced PatientMonitoring’snext 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 teamoperatesat 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 Engineerto 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,establishingengineering best practices, and contributing to scalable experimentation, reproducible workflows, andMLOpsinfrastructure. 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,MLOpsinfrastructure, 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+ yearsof 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 todrive and execute oncomplex technicaland cross-functionalprojects in ambiguous problem spaces

• Strongexperiencedeveloping AI/ML solutions using Python-based frameworks and libraries(e.g.TensorFlow,PyTorch), including shippingmodels across cloud and/or edge/embedded environments

• Experience developing production-gradeML/DL/AImodels using modern engineering practices, including version control, testing, code review, CI/CD, and collaborative development workflows

• Experience designing robustmodel and dataevaluation 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, orMLOpsinfrastructure to support ML development and experimentation

• Contributions to research publications, open-source projects, or industry thought leadership