Staff Machine Learning Engineer

BD is building clinically meaningful AI and machine learning that supports continuous physiological monitoring, disease detection, and predictive clinical decision support. This Staff Machine Learning Engineer role (onsite) focuses on end-to-end algorithm development and deployment across cloud systems and edge medical devices, using multi-modal healthcare data.

What you’ll do

• 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 models using multi-modal data sources including physiological waveforms and time-series signals such as PPG, blood pressure, and capnography, along with bedside and wearable sensor data, electronic health records, structured clinical data, and related monitoring inputs.
• 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 pipelines covering 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 align algorithm development with clinical context, usability, safety, and regulatory expectations.
• Optimize and implement algorithms for both cloud environments and edge or embedded medical devices, addressing 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.

What you bring

• 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 classical and modern approaches.
• Hands-on experience with physiological time-series data, biomedical signals, medical device data, or clinical datasets.
• Strong understanding of human physiology as it relates to patient monitoring.
• Demonstrated experience taking 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, and scikit-learn (or equivalent tools).
• Experience with cloud-based algorithm development and deployment using Azure, AWS, or GCP.
• Experience optimizing models for deployment in constrained environments including embedded systems, edge devices, or near-real-time medical technology platforms.
• Strong model evaluation skills including sensitivity, specificity, AUROC, calibration, false alarm burden, clinical utility, robustness, and generalizability.
• Excellent communication skills across engineering, clinical, regulatory, and business stakeholders.

Tools you may use

• Python, PyTorch, TensorFlow, scikit-learn
• Azure, AWS, GCP
• Transformer-based models and foundation-model approaches where appropriate

Benefits

• Medical, dental, vision, health savings and flexible spending accounts
• Life and disability insurance
• Wellness resources and mental health support
• Disease management programs
• 401(k) and deferred compensation programs
• Financial counseling, DailyPay
• Educational savings resources and educational assistance
• Paid time off, company holidays
• Parental leave, adoption assistance
• Backup care, caregiving support, employee assistance programs
• Commuter benefits
• Pet insurance, legal services
• Associate discount programs
• Bereavement leave, military leave, personal leave, family and medical leave, jury duty leave

Location: Laguna Canyon, CA (onsite), USA (primary work location: CA - Irvine Laguna Canyon).
Salary range: USD 129,600 to 207,400 per year.

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 and model lifecycle management including version control, data governance, automated testing, and post-deployment monitoring.