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Live In Medical Image Deep Learning Jobs in Boston, MA

Varsity Tutors

Machine Learning Tutor

Boston, 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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Machine Learning Tutor

Cambridge, 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 ...

Varsity Tutors

Machine Learning Tutor

Lowell, 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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Machine Learning Tutor

Newton, MA · Remote

$18 - $40/hr

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Machine Learning Tutor

Lynn, MA · Remote

$18 - $40/hr

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Machine Learning Tutor

Somerville, MA · Remote

$18 - $40/hr

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Machine Learning Tutor

Quincy, MA · Remote

$18 - $40/hr

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Machine Learning Tutor

Waltham, MA · Remote

$18 - $40/hr

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Harvard University

Machine Learning Engineer

Boston, MA · On-site +1

... Python deep learning software stack, particularly expertise in PyTorch, Numpy, and related packages. * Experience handling and processing large and diverse datasets, especially medical texts ...

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All JobsLive In Medical Image Deep Learning JobsLive In Medical Image Deep Learning Jobs in Boston, MA

Live In Medical Image Deep Learning information

See Boston, MA salary details

$30.4K

$48.9K

$63.6K

How much do live in medical image deep learning jobs pay per year?

As of Aug 8, 2026, the average yearly pay for live in medical image deep learning in Boston, MA is $48,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $52,700.00 per year, depending on experience, location, and employer.

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.

Live In Medical Image Deep Learning jobs near you

Technical Staff: Medical Imaging AI

MIT Lincoln Laboratory

Lexington, MA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

The Human Health & Performance Systems Group develops human-centered technologies to overcome operational challenges and to enhance human capability in domains of interest to national security. Our research programs focus on innovative and objective solutions in the areas of integrated wearable systems, human-machine teaming, enhanced communications, neurocognitive analytics, and medical technologies. Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics. Our core technical competencies include system-level modeling and gap analysis, advanced sensing and signal processing, machine learning and artificial intelligence, computational modeling, hardware and software prototyping, model-based systems engineering, and human data collection in laboratory and field environments.

Job Description

The Human Health & Performance Systems Group is seeking an expert in medical imaging and AI to join our medical operations team.  This team is dedicated to developing advanced medical technologies to address critical defense and civilian medical challenges, with a particular focus on improving austere and battlefield medicine. As part of our mission, we aim to create impactful solutions that enhance medical care in resource-limited and high-stakes environments, ultimately saving lives and improving outcomes. As a member of our team, you will play a key role in advancing this mission by applying cutting-edge signal/image processing, deep learning, and data analysis techniques to develop AI-enabled system prototypes. You will collaborate with and lead multi-disciplinary teams of engineers, scientists, and clinicians to design and evaluate innovative medical imaging devices and human performance technologies. This position offers the opportunity to work on groundbreaking projects that push the boundaries of medical technology, contributing to solutions that address some of the most pressing challenges in defense and civilian healthcare.

Requirements:

  • Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, or other relevant degree.  M.S. or M.Eng. with 5 or more years of relevant experience will also be considered.
  • Strong technical expertise in both the theory and practical applications of deep learning model development and deployment on operational systems 
  • Expertise in biomedical signal and image processing
  • Proficiency in algorithm development (Python, MATLAB) for extraction, conditioning, and exploration of biomedical datasets
  • Proven experience in leading technical project teams
  • Ability to produce clear, concise, and professional project reports, as well as contributions to technical and scientific publications

Preferences:

  • Experience in software development and deployment on edge platforms
  • Familiarity with medical ultrasound systems
  • Experience conducting medical device evaluations in clinical environments

Recent Graduate Hiring Range: $145,200 - $170,000

Experienced Hiring Range: $145,200 - $220,000

 

Disclaimer: MIT Lincoln Laboratory provides a typical hiring range as a good faith estimate of what we reasonably expect to offer for this position at the time of posting. The final salary offered to a selected candidate will depend on various factors, including-but not limited to-the scope and responsibilities of the role, the candidate's experience, skills and education/training, internal equity considerations and applicable legal requirements. This range reflects base salary only and does not include additional forms of compensation or benefits.

At MIT Lincoln Laboratory, our exceptional career opportunities include many outstanding benefits to help you stay healthy, feel supported, and enjoy a fulfilling work-life balance. Benefits offered to employees include: 

  • Comprehensive health, dental, and vision plans
  • MIT-funded pension
  • Matching 401K
  • Paid leave (including vacation, sick, parental, military, etc.)
  • Tuition reimbursement and continuing education programs
  • Mentorship programs
  • A range of work-life balance options
  • ... and much more!  

Please visit our Benefits page for more information. As an employee of MIT, you can also take advantage of other voluntary benefits, discounts and perks.

Selected candidate will be subject to a pre-employment background investigation and must be able to obtain and maintain a Secret level DoD security clearance.

MIT Lincoln Laboratory is an Equal Employment Opportunity (EEO) employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, or genetic information; U.S. citizenship is required.

 

Requisition ID: 42828 

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