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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Engineer - Applied ML/AI Algorithms R&D for Advanced Patient Monitoring - **Company:** Becton, Dickinson and Company - **Location:** Irvine, CA, United States - **Experience:** Expert - **Salary:** $117,000.0 - $171,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Code Review, Continuous Integration, Data Auditing, DevOps, Python (Programming Language), Machine Learning, Open Source Technology, Recommender Systems, Tensorflow, Software Deployment, Software Engineering, Software Systems, Pytorch, Large Language Models, Data Management, Machine Learning Operations, Software Version Control - **Published:** September 25, 2026 - **Apply:** https://www.jofdav.com/jobs/59864100-senior-engineer-applied-ml-ai-algorithms-r-d-for-advanced-patient-monitoring ## About the Role 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 clinical workflows or patient monitoring * Experience with FDA-regulated or other regulated development environments * Experience building data platforms, feature stores, or MLOps infrastructure to support ML development and experimentation * Contributions to research publications, open-source projects, or industry thought leadership ## Description 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. The Role 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. Responsibilities * 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 ## Related Videos - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)