Senior Staff AI/ML Algorithm Engineer

Becton Dickinson; Irvine (CA); On-site; USD 146,000 - 234,000; Full time

Job summary

Becton, Dickinson and Company in Irvine, CA is seeking a Senior Staff AI/ML Algorithm Engineer to advance medical technologies through multi-modal data and deployable algorithms for continuous monitoring, disease detection, and clinical decision support.

You will lead the design and validation of AI/ML models, collaborate with clinicians and engineers, and optimize solutions for cloud and edge devices, while ensuring regulatory readiness and robust performance.

Qualifications

• 10+ years in AI/ML, algorithm development, biomedical signal processing, or related healthcare tech.
• Master’s or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, or related field.
• Deep expertise in machine learning and AI model development (classical and modern).
• Hands-on experience with physiological time-series data and biomedical signals.
• Experience deploying algorithms to cloud and edge environments.

Responsibilities

• Lead the design, development, validation and deployment of AI/ML algorithms for continuous physiological monitoring, disease detection and risk stratification.
• Develop algorithms using multi-modal data sources, including physiological waveforms, EHRs, imaging and structured clinical data.
• Apply classical ML, time-series modeling, signal processing, deep learning, and multimodal AI approaches.
• Translate clinical understanding into robust algorithm design with clinically interpretable outputs.
• Build end-to-end pipelines from data ingestion to monitoring and post-market performance assessment.
• Partner with clinical, regulatory, quality, and product teams to ensure clinical context and safety.
• Develop and optimize algorithms for cloud environments and edge/embedded devices.
• Support verification, validation, risk analysis, and design controls for regulated medical technology products.
• Contribute to IP strategy, research roadmaps and external scientific engagement.
• Mentor engineers and data scientists, establishing best practices for healthcare AI.

Skills

AI/ML development

Python programming

Deep learning

Time-series analysis

Multi-modal data

Clinical/healthcare knowledge

Cross-functional leadership

Model evaluation metrics

Cloud deployment

Regulatory awareness

Education

Master's or PhD in engineering/CS/math or related

Tools

PyTorch

TensorFlow

scikit-learn

Azure

AWS

GCP

Job description

Job Description

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 MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

We are seeking a highly experienced Senior Staff AI/ML Algorithm Engineer to help advance next-generation medical technologies for continuous physiological monitoring, disease detection, and predictive clinical decision support. In this role, you will develop clinically meaningful algorithms using multi-modal healthcare data, including physiological sensor signals, medical device data, electronic health records, imaging data, and other real-world clinical datasets. You will work in a highly cross-functional environment with algorithm engineers, data scientists, clinicians, systems engineers, software teams, regulatory specialists, and product leaders to translate complex clinical and physiological problems into validated, deployable algorithmic solutions. This is a senior technical role suited for an engineer with deep expertise in classical machine learning, modern AI/deep learning, physiological signal interpretation, and real-world deployment across both cloud-based platforms and edge medical devices.

Key Responsibilities

• Lead the design, development, validation and deployment of AI/ML algorithms for continuous physiological monitoring, novel vital sign and physiological parameter development, disease detection and risk stratification and early warning systems.
• Develop algorithms using multi-modal data sources, including physiological waveforms and time-series data such as PPG, blood pressure, capnography and other monitoring signals, bedside and wearable sensor data, electronic health records and structured clinical data, etc.
• Apply advanced analytical approaches, including:
  • Classical machine learning models
  • Statistical modeling and probabilistic inference
  • Time-series modeling
  • Signal processing and feature engineering
  • Deep learning architectures
  • Multimodal AI models
  • Transformer-based models and foundation-model approaches where appropriate
• Translate clinical and physiological understanding into robust algorithm design, including feature selection, model architecture, performance targets, and clinically interpretable outputs.
• Build end-to-end algorithm development pipelines for data ingestion, signal quality assessment, annotation, feature extraction, model training, validation, robustness testing, and post-market performance monitoring where applicable.
• Partner with clinical, medical affairs, regulatory, quality, and product teams to ensure algorithms are developed with appropriate clinical context, usability, safety, and regulatory considerations.
• Develop and optimize algorithms for cloud environments and for edge or embedded medical devices, accounting for latency, memory, compute, power, cybersecurity, and reliability constraints.
• Support verification, validation, documentation, risk analysis, and design controls for regulated medical technology products.
• Contribute to intellectual property generation, technical strategy, research roadmaps, and external scientific engagement.
• Mentor engineers and data scientists, provide technical leadership, and help establish best practices for healthcare AI algorithm development.

Required Qualifications

• 10+ years of industry experience in AI/ML, algorithm development, biomedical signal processing, healthcare analytics, medical devices, or related technical areas.
• Master’s or PhD degree preferred in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Computational Biology, or a related engineering or quantitative field.
• Deep expertise in machine learning and AI model development, including both classical and modern approaches.
• Strong hands‑on experience with physiological time-series data, biomedical signals, medical device data, or clinical datasets.
• Solid understanding of human physiology, especially as it relates to patient monitoring, cardiopulmonary function, hemodynamics, respiratory status, neurological monitoring, or acute care settings.
• Demonstrated experience developing algorithms from early feasibility through productization or deployment.
• Experience working with multi‑modal healthcare data, such as sensor signals, EHR data, imaging data, lab data, and clinical outcomes.
• Strong programming skills in Python and experience with ML/AI frameworks such as PyTorch, TensorFlow, scikit‑learn, or equivalent tools.
• Experience with cloud‑based algorithm development and deployment using platforms such as Azure, AWS, or GCP.
• Experience optimizing models for deployment on constrained environments, including embedded systems, edge devices, or near‑real‑time medical technology platforms.
• Strong understanding of model evaluation, including sensitivity, specificity, AUROC, calibration, false alarm burden, clinical utility, robustness, and generalizability.
• Excellent communication skills with the ability to explain complex technical concepts to engineering, clinical, regulatory, and business stakeholders.

Preferred Qualifications

• Experience developing AI/ML algorithms for regulated medical devices, digital health products, clinical decision support tools, or Software as a Medical Device (SaMD).
• Familiarity with medical device development practices, including design controls, risk management, verification and validation, human factors, clinical performance evaluation, and regulatory documentation.
• Experience with relevant standards and regulatory frameworks such as FDA expectations for AI/ML‑enabled medical devices.
• Experience with signal quality assessment, artifact detection, missing‑data handling, sensor fusion, uncertainty quantification, and explainable AI.
• Familiarity with MLOps, model lifecycle management, version control, data governance, automated testing, and post‑deployment monitoring.

Primary Work Location

USA CA - Irvine Laguna Canyon

Salary Range Information

$146,000.00 - $233,600.00 USD Annual

Our salary or hourly rate ranges reward associates fairly and competitively. We regularly review these ranges and factors, such as location, contribute to the range displayed. Our pay is based on the role and the necessary skills and education to perform it successfully. The salary or hourly rate offered is determined by the role's specific requirements, including any applicable step rate pay system at the work location. Salary or hourly pay ranges are influenced by labor laws and Collective Bargaining Agreement (CBA) requirements applicable to the work location which may also affect the workplace arrangement of the role.

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. 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, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.

We are the #MakersofPossible Working together, we make products that patients, families and their healthcare professionals rely on. We do this because we are committed to advancing the world of health™. But it takes the imagination and passion of all of us at BD, from manufacturing to marketing, to look at the impossible and find solutions that turn dreams into possibilities with real‑life health benefits for people today, tomorrow and beyond. We make this happen, together. We are the makers of possible.

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, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally‑protected characteristics.