- Salary
- $99k – $199k
- Location
- United States > Massachusetts > Westford : 4 Robbins Road, United States of America
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- PhD
- Source
- Workday
Description
JOB DESCRIPTION:
- Design, develop and deploy machine learning and deep learning models for clinical applications including image segmentation, feature detection, classification and quantitative analysis of OCT images.
- Lead the development of advanced semantic segmentation algorithms for OCT-based vascular imaging applications.
- Own end-to-end ML lifecycle, including data preparation, annotation strategies, model development, training, validation, performance optimization, and deployment.
- Collaborate with clinical and V&V teams to define clinically meaningful outputs, evaluation metrics, and validation methodologies.
- Develop algorithms capable of robust performance across diverse patient populations, imaging conditions, and clinical use cases.
- Optimize models for real-time or near-real-time inference in embedded or product environments.
- Evaluate and integrate state-of-the-art machine learning approaches, including foundation models, self-supervised learning, and generative AI techniques where appropriate.
- Contribute to software architecture, code reviews, and engineering best practices to ensure scalable and maintainable AI solutions.
- Generate technical documentation supporting design controls, verification, validation, risk management, and regulatory submissions.
- Master’s or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a focus on AI/ML.
- 7+ years of industry experience developing machine learning, deep learning, or computer vision solutions, or 4+ years of relevant industry experience with a PhD.
- Strong expertise in deep learning architectures and modern machine learning approaches for image analysis, including convolutional neural networks and vision transformers
- Proven experience developing semantic segmentation, object detection, classification, and image analysis algorithms.
- Strong programming skills in Python and experience with ML frameworks such as PyTorch, TensorFlow, or equivalent.
- Experience designing experiments, evaluating model performance, and applying statistical methods for model validation.
- Demonstrated ability to translate research concepts into prototype and production-quality software solutions.
- Excellent communication and cross-functional communication skills.
- Experience with OCT, IVUS, CT, MRI or other medical imaging modalities, including multi-modal image registration techniques.
- Understanding of OCT imaging principles, image formation physics, and common imaging artifacts.
- Experience developing AI/ML solutions for 3D volumetric, temporal, longitudinal or sequential imaging datasets.
- Experience with foundation models, generative AI, self-supervised learning, multimodal learning, or other advanced AI approaches applied to medical imaging.
- Expertise in model deployment and optimization for real-time or near-real-time inference using technologies such as ONNX, TensorRT, TorchScript, or equivalent frameworks.
- Experience establishing scalable MLOps workflows, including data and model versioning, experiment tracking, continuous integration/deployment, and production ML pipelines.
- Familiarity with medical device software development processes in regulated environments, including FDA regulations, design controls, V&V, and AI/ML-related FDA guidelines.
- Demonstrated ability to translate research-grade algorithms into robust, production-ready solutions for clinical or commercial applications.
The base pay for this position is
$99,300.00 – $198,700.00In specific locations, the pay range may vary from the range posted.
JOB FAMILY:
Research and Discovery
DIVISION:
AVD Vascular
LOCATION:
United States > Massachusetts > Westford : 4 Robbins Road
ADDITIONAL LOCATIONS:
WORK SHIFT:
Standard
TRAVEL:
Yes, 15 % of the Time
MEDICAL SURVEILLANCE:
Not Applicable
SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.
EEO is the Law link - English: http://webstorage.abbott.com/common/External/EEO_English.pdf
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