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Staff Machine Learning Engineer

Pay
USD 129,600–207,400/year — pay source
Salary Range Information $129,600.00 - $207,400.00 USD Annual
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Lead design, validation and deployment of AI/ML algorithms for physiological monitoring

  • Build algorithms from multi-modal data such as PPG, blood pressure and EHR data

  • Optimize algorithms for cloud and edge or embedded medical devices

  • Support verification, validation and design controls for regulated medical products

From the employer’s posting
Lead the design, development, validation and deployment of AI/ML algorithms for continuous physiological monitoring
Develop algorithms using multi-modal data sources, including physiological waveforms and time-series data such as PPG, blood pressure, capnography
Develop and optimize algorithms for cloud environments and for edge or embedded medical devices
Support verification, validation, documentation, risk analysis, and design controls for regulated medical technology products

What you’ll bring

All qualifications

Core experience

  • 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.
  • 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.

Preferred experience

  • 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.
Qualification wording
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.
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.
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.
Education & alternatives
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.
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).
Apply at Becton Dickinson

Posting record

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Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 26, 202610 days ago
Recorded sightings
17
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$130K–$207K against $166K–$240K, the middle half of what similar US postings state.

From 1,279 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 10

Similar jobs usually come down between day 6 and day 70.

At Becton Dickinson, jobs usually come down by about day 23.

From 4,515 similar postings that came down, and 27 of Becton Dickinson’s. Coming down is not always a hire.

Becton Dickinson is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Azure
  • GCP
  • PyTorch
  • scikit-learn
  • TensorFlow
Where the posting names them
- 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.
- 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.

Your next step

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Has Becton Dickinson posted this job before?

Yes. We’ve followed one other Staff Machine Learning Engineer job there since September 2026. It is still up.

  1. Place not statedStill up after 37 days, first seen Sep 29
  2. This jobUp 10 days so far, first seen Oct 26

About Becton Dickinson

People
About 72,000 in 2025, down 3% from the year before.Annual report (SEC Form 10-K)
Company
Listed as BDX.

Demand for ML Engineer roles

New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.

Weekly new ML Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 625, the most 1,094, and the latest week had 876.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗





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 LocationUSA 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.


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
Source details

View original posting ↗

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Pay
Salary Range Information $129,600.00 - $207,400.00 USD Annual
Location & working pattern

USA CA - Irvine Laguna Canyon

Working pattern and location restrictions need checking in the full posting.

Work authorization
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

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