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Added 18 mins ago
Software Engineer II- Full-stack Developer
Deloitte US
Atlanta, GA · Boston, MA · Charlotte, NC · Chicago, IL · Cincinnati, OH · Cleveland, OH · Columbus, OH · Costa Mesa, CA · Dallas, TX · Denver, CO · Detroit, MI · Hartford, CT · Houston, TX · Kansas City, MO · Los Angeles, CA · McLean, VA · Miami, FL · Minneapolis, MN · Nashville, TN · NY · Philadelphia, PA · Pittsburgh, PA · Raleigh, NC · Richmond, VA · Sacramento, CA · San Jose, CA · Seattle, WA · St. Louis, MO · Stamford, CT · Tampa, FL
Software Engineer II, AI & Engineering/Engineering as a Service
Added 57 mins ago
C
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Added 11 hours ago
Sentinel - Principal Systems Safety Engineer - 17339
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Added 17 hours ago
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Added 21 hours ago
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BD (Becton, Dickinson and Company)

Staff Machine Learning Engineer

Irvine, CA, United States

$129,600 to $207,400 USD / year

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Job details

Pay: $129,600 to $207,400 USD / year
Experience: 7+ years of industry experience in AI/ML, algorithm development, biomedical signal processing, healthcare analytics, medical devices, or related technical areas.
Posting language: English
Posted: Oct 28, 2026

Original 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.

Job Description

Summary

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 .

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.

Required Skills

Optional Skills

Primary Work Location

USA CA - Irvine Laguna Canyon

Additional Locations

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.

Additional details regarding benefits and well-being programs can be found in Our Commitment to You (https://jobs.bd.com/en/your-career-at-BD) .

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.

Salary Range Information

$129,600.00 - $207,400.00 USD Annual

Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of 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, or any other protected status.

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More about this job

Skills

Machine learning
Electronic health records
ML
Signal processing
Deep learning
Medical devices
Cybersecurity
Documentation
Research
Electrical engineering
Biomedical engineering
Computer science
Statistics
Human physiology
EHR
Python
PyTorch
TensorFlow
Scikit-learn
Microsoft Azure
AWS
Google Cloud
Embedded systems
Communication skills
Risk management
Test automation
Problem solving

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