Staff Machine Learning Engineer

BD; Irvine (CA); On-site; USD 130,000 - 207,000; Full time

Benefits offered by this job

Health & wellbeing

401(k) and retirement options

Paid time off

Job summary

BD is seeking a Staff Machine Learning Engineer to advance next‑generation medical technologies for continuous physiological monitoring, disease detection, and predictive clinical decision support. You will lead AI/ML algorithm development across multi‑modal data and deploy solutions on cloud and edge devices.

The role requires deep expertise in classical and modern ML, signal processing of physiological data, and collaboration with cross‑functional teams including clinicians, regulatory, and

Qualifications

• Bachelor’s in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, Statistics, or related field.
• 7+ years in AI/ML, algorithm development, biomedical signal processing, healthcare analytics, or related areas.
• Deep expertise in classical and modern ML/AI model development.
• Experience with physiological time-series data and clinical datasets.
• Strong Python and ML frameworks such as PyTorch, TensorFlow, scikit-learn.

Responsibilities

• Lead the design, development, validation and deployment of AI/ML algorithms for continuous physiological monitoring and risk stratification.
• Develop algorithms using multimodal data including physiological signals, EHRs, and imaging data.
• Apply advanced analytical approaches across classical ML, time-series, signal processing and deep learning.
• Translate clinical understanding into robust algorithm design and deployable solutions.
• Build end-to-end pipelines for data ingestion, annotation, model training, validation and monitoring.

Skills

Python programming

ML model development

Cloud deployment

Communication

Physiological signals understanding

Education

Bachelor's in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science or related field

Master's or PhD in a related field

Tools

PyTorch

TensorFlow

scikit-learn

Azure/AWS/GCP

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.

Summary

Job Description

We are seeking a highly experienced Staff Machine Learning 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.

Required Qualifications

• Bachelor’s in Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Computational Biology, or a related engineering or quantitative field.
• 7+ years of industry experience in AI/ML, algorithm development, biomedical signal processing, healthcare analytics, medical devices, or related technical areas.
• 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.
• Understanding of human physiology, especially as it relates to patient monitoring.
• 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

• Master’s or PhD degree Electrical Engineering, Biomedical Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, Computational Biology, or a related engineering or quantitative field.
• 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 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.

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.

Primary Work Location

USA CA - Irvine Laguna Canyon

Work Shift

At BD, we reward, support and develop our associates through our comprehensive Total Rewards program. We are committed to attracting and retaining high quality talent by providing reward and recognition opportunities that promote a performance‑based culture, as well as a competitive package of compensation and benefits programs.

Benefits May Include

• Health & Well‑being: Medical, dental, vision, health savings and flexible spending accounts, life and disability insurance, wellness resources, mental health support, and disease management programs.
• Retirement & Financial Well‑being: 401(k), deferred compensation programs, financial counseling, DailyPay, and educational savings resources.
• Work‑Life Balance & Family Support: Paid time off, company holidays, educational assistance, parental leave, adoption assistance, backup care, caregiving support, employee assistance programs, commuter benefits, pet insurance, legal services, and associate discount programs.
• Leave Programs: Bereavement, military, personal, family and medical leave, and jury duty leave.

Salary Range Information

$129,600.00 - $207,400.00 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 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.

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.