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Live In Medical Image Deep Learning Jobs in Massachusetts

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Strong expertise in deep learning architectures and modern machine learning approaches for image ... Experience with OCT, IVUS, CT, MRI or other medical imaging modalities, including multi-modal image ...

Strong expertise in deep learning architectures and modern machine learning approaches for image ... Experience with OCT, IVUS, CT, MRI or other medical imaging modalities, including multi-modal image ...

Staff AI/ML Engineer

Westford, MA · On-site

$99K - $198K/yr

Strong expertise in deep learning architectures and modern machine learning approaches for image ... Experience with OCT, IVUS, CT, MRI or other medical imaging modalities, including multi-modal image ...

Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ...

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Live In Medical Image Deep Learning information

Is ML a high paying job?

A career in machine learning, including roles like live-in medical image deep learning specialists, generally offers high salaries due to the specialized skills and demand for expertise in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles are typically well-compensated compared to many other tech positions.

What is the difference between Live In Medical Image Deep Learning vs Medical Imaging Specialist?

AspectLive In Medical Image Deep LearningMedical Imaging Specialist
CredentialsTypically requires a degree in computer science, AI, or related fields; certifications in deep learning or medical imaging are commonRequires degrees in radiology, medical imaging technology, or related healthcare fields; certifications in imaging modalities are often needed
Work EnvironmentPrimarily research labs, AI development teams, or healthcare tech companies; involves programming and data analysisHospitals, clinics, diagnostic centers; involves operating imaging equipment and patient interaction
Industry UsageUsed in developing AI algorithms for medical image analysis, diagnostics, and researchUsed in performing and interpreting medical imaging procedures for patient diagnosis

Live In Medical Image Deep Learning focuses on developing AI models for analyzing medical images, requiring programming and data science skills. In contrast, Medical Imaging Specialists perform imaging procedures and interpret results in clinical settings. Both roles are essential in healthcare but differ in their focus and daily tasks.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions often involve developing algorithms for image analysis, natural language processing, and predictive modeling, frequently requiring programming skills in Python and frameworks like TensorFlow or PyTorch.

What are the applications of deep learning in medical imaging?

In the role of a Live In Medical Image Deep Learning specialist, deep learning is applied to automate and improve the accuracy of medical image analysis, including tasks such as tumor detection, segmentation, and disease classification. These applications enhance diagnostic efficiency and support clinical decision-making using tools like convolutional neural networks (CNNs) and large datasets for training models. Skills in image processing, programming, and understanding of medical imaging modalities are essential for this work.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often in specialized fields like medical image deep learning. These roles usually require advanced skills in deep learning frameworks, extensive experience, and may involve leadership responsibilities or cutting-edge research. Compensation at this level reflects significant expertise and impact within the organization.
What cities in Massachusetts are hiring for Live In Medical Image Deep Learning jobs? Cities in Massachusetts with the most Live In Medical Image Deep Learning job openings:
Staff AI/ML Engineer

Staff AI/ML Engineer

Abbott

Westford, MA • On-site

$99K - $198K/yr

Full-time

Posted 9 days ago


Abbott rating

7.9

Company rating: 7.9 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

156th of 528 rated manufacturers


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.
  • Generate technical documentation supporting design controls, verification, validation, risk management, and regulatory submissions.
Required Qualifications
  • 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.
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 DiscoveryDIVISION:AVD VascularLOCATION:United States > Massachusetts > Westford : 4 Robbins RoadADDITIONAL LOCATIONS:United States > Santa Clara : Building A - SC, United States > Santa Clara : Building B - SCWORK SHIFT:StandardTRAVEL:Yes, 15 % of the TimeMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT 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.pdfEEO is the Law link - Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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