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

Becton Dickinson · USA CA - Irvine Laguna Canyon

$180k - $279k

Full-Time

Job description

The Role

We are seeking a Senior Principal Engineer to lead the development and deployment of 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 leadership responsibility. You will drive end-to-end development—from algorithm design and modeling innovation through productionization in regulated environments—translating research-grade models into robust systems that meet real-world clinical constraints and needs.

Beyond individual contributions, you will play a critical leadership role in shaping technical direction, mentoring engineers, and elevating the team’s engineering maturity. You will help define and build scalable experimentation pipelines, reproducible workflows, and MLOps practices that accelerate iteration while ensuring rigor and regulatory readiness.

You will partner closely with data, product, and clinical teams to bridge the gap between research and product—building solutions that deliver meaningful, real-world clinical impact.

Responsibilities

Lead the development of AI/ML algorithms from early exploration through production, driving clinically impactful outcomes

Set technical direction across projects, influencing strategy across modeling, data, and product design

Translate clinical and product needs into scalable, real-world AI/ML solutions

Architect solutions that are reliable, efficient, and deployable in regulated, production environments

Build and scale experimentation and MLOps infrastructure to accelerate team’s velocity

Mentor engineers and elevate the technical bar across the organization

Partner with clinical, regulatory, and engineering teams to bring AI/ML solutions to market

About You (Requirements)

PhD with 4 + years or MS with 7 + years or BS with 8+ years of experience in AI/ML, data science, or software engineering

Experience building and putting into production applied AI, machine learning, LLM/LMM, agentic, or other decision or recommendation systems

Proven technical leader who can drive ambiguous, high-impact initiatives and influence direction within and across cross-functional teams

Strong product judgment—able to balance speed, complexity, and real-world impact

Deep expertise in modern ML/DL/AI frameworks with experience building robust, scalable models for deployment across cloud and/or edge/embedded environments in partnership with systems engineering

Experience designing robust evaluation frameworks and working with real-world, imperfect data

Track record of mentoring engineers and shaping engineering practices

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 or regulated development environments

Experience building data platforms or feature stores to support scalable ML development and experimentation

Contributions to research, open source, 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, affectional or sexual orientation,

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