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$99k–$199k/yr
Full-time
postgraduate degree
Posted 30d ago
~40 hrs/week
Responsibilities
Develop and deploy advanced AI/ML models for OCT-based intravascular imaging systems to identify anatomical and interventional features. Lead the end-to-end ML lifecycle from data preparation and model training to integration into regulated medical devices.
Requirements
Requires a Master's or PhD in a relevant field with 7+ years of industry experience (or 4+ with a PhD) in deep learning and computer vision. Proficiency in Python and ML frameworks like PyTorch or TensorFlow is essential.
Full job description
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, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.
JOB DESCRIPTION:
Position Overview
Abbott Vascular is seeking a Staff AI/ML Engineer to develop advanced machine learning solutions for optical coherence tomography (OCT)–based intravascular imaging systems. This role will focus on developing robust, clinically relevant algorithms to automatically identify and characterize key anatomical and interventional features. The successful candidate will translate cutting-edge AI research into scalable, high-performance solutions integrated into regulated medical device products. The role requires close collaboration with clinical, imaging, software, and systems engineering teams throughout the product development lifecycle.
Key Responsibilities
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.
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
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.
Preferred Qualifications
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 – $198,700.00
In 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.
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
Offices: 100 Abbott Park Road, Abbott Park, Illinois 60064-3500, US
How much do Engineering jobs in Massachusetts pay?
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