Base Salary
$149k - $297k/yr
Responsibilities
- Design, develop, and deploy machine learning and deep learning models for OCT-based clinical imaging applications.
- Lead semantic segmentation, object detection, classification, and quantitative image analysis algorithm development.
- Own data preparation, annotation, model development, training, validation, optimization, and deployment across the ML lifecycle.
- Collaborate with clinical and V&V teams on clinically meaningful outputs, evaluation metrics, and validation methods.
- Optimize models for real-time or near-real-time inference in embedded or product environments.
- Evaluate and integrate foundation models, self-supervised learning, generative AI, and other advanced approaches where appropriate.
- Contribute to software architecture, code reviews, maintainable AI solutions, technical documentation, design controls, verification, validation, risk management, and regulatory submissions.
Requirements
- Master’s or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related AI/ML-focused field.
- At least 8 years of relevant industry experience, or at least 4 years with a Ph.D.
- Strong expertise in deep learning architectures and modern image-analysis methods, including convolutional neural networks and vision transformers.
- Experience developing semantic segmentation, object detection, classification, and image analysis algorithms.
- Strong Python programming skills and experience with PyTorch, TensorFlow, or equivalent ML frameworks.
- Experience designing experiments, evaluating model performance, and applying statistical validation methods.
- Ability to translate research concepts into prototype and production-quality software solutions.
- Preferred qualifications include medical imaging experience, OCT principles, image formation physics, imaging artifacts, multimodal registration, 3D or sequential datasets, advanced AI methods, model optimization, MLOps, and regulated medical device development.
- Preferred experience includes ONNX, TensorRT, TorchScript, scalable data and model versioning, experiment tracking, production ML pipelines, FDA regulations, design controls, V&V, and AI/ML FDA guidelines.
Benefits
- The position is located in Santa Clara, California, with a standard work shift.
- Travel is approximately 10% of the time.
- The role involves keyboard use for at least 50% of the workday.
Categories
About Abbott
Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and www.facebook.com/AbbottCareers, on Instagram @AbbottGlobal, and on X @AbbottNews. We invite you to explore opportunities at Abbott, to see if your talents and career aspirations may fit with our openings. An equal opportunity employer, Abbott welcomes and encourages diversity in our workforce. Terms of Use: https://www.abbott.com/social-media-terms-of-use.html Privacy Policy: https://abbo.tt/privacy