Staff Machine Learning Engineer
Company websitebd.com (Becton Dickinson, opens in new tab)
Base salary $129,600 to $207,400
Employer-published annual base salary, USD. Advertised base range in Irvine Laguna Canyon, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationIrvine Laguna Canyon, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
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
About the Role
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
- 7+ 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.
- 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
- 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.
At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.
For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.
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 CanyonAdditional 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 AnnualSource: Becton Dickinson on Workday · View original posting (opens in new tab)
Pay in context
This role's base floor ($129,600) is above 18% of the 3,643 Data & ML roles nationwide listed on this site; 2 others list the same floor. Their median floor is $169,279; the middle half runs from $137,400 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingStaff Machine Learning Engineer$129,600 to $207,400
Staff Systems Engineer$129,600 to $207,400
Staff Specialist, Post Market Quality$129,600 to $207,400
Principal Statistical Programmer$129,600 to $207,400
Manufacturing Project Engineer$129,600 to $207,400
Principal Engineer – Applied ML/AI Algorithms R&D for Advanced Patient Monitoring$129,600 to $207,400
Staff Regulatory Affairs Specialist$129,600 to $207,400
Chart as a table
| Role | Published base |
|---|---|
| Staff Machine Learning Engineer (this listing) | $129,600 - $207,400 |
| Staff Systems Engineer | $129,600 - $207,400 |
| Staff Specialist, Post Market Quality | $129,600 - $207,400 |
| Principal Statistical Programmer | $129,600 - $207,400 |
| Manufacturing Project Engineer | $129,600 - $207,400 |
| Principal Engineer – Applied ML/AI Algorithms R&D for Advanced Patient Monitoring | $129,600 - $207,400 |
| Staff Regulatory Affairs Specialist | $129,600 - $207,400 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-26
Where this pay comes from
Location as the employer wrote it: USA CA - Irvine Laguna Canyon
$129,600.00 - $207,400.00 USD Annual
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
