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Deep Learning Medical Imaging Computer Vision Jobs

Codertal

Computer Vision Engineer

Union, NJ · Remote

$113K - $134K/yr

If you love working with image processing, deep learning, and advanced computer vision pipelines, this role is an excellent fit for you! Last Updated: 21.10.2025 Location: Remote - European Union ...

Codertal

Deep Learning Engineer

Union, NJ · On-site +1

Codertal is hiring a Deep Learning Engineer for a remote opportunity in the European Union on a B2B ... Develop and fine‐tune neural networks for tasks such as computer vision , NLP , and ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA

Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments * Own model optimization and deployment ...

Booz Allen Hamilton

Computer Vision AI Engineer

Chantilly, VA · On-site

$115K - $135K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking. • Collaborate with multidisciplinary teams to design, develop ...

Booz Allen Hamilton

Computer Vision AI Engineer

El Segundo, CA · On-site

$118K - $140K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking. • Collaborate with multidisciplinary teams to design, develop ...

Booz Allen Hamilton

Computer Vision AI Engineer

Aurora, CO · On-site

$113K - $133K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking. • Collaborate with multidisciplinary teams to design, develop ...

Booz Allen Hamilton

Computer Vision AI Engineer

$114K - $134K/yr

Responsibilities : • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking. • Collaborate with multidisciplinary teams to design, develop ...

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Deep Learning Medical Imaging Computer Vision information

What is deep learning in medical imaging and computer vision?

Deep learning in medical imaging and computer vision refers to the use of advanced neural network algorithms to automatically analyze and interpret medical images such as X-rays, MRIs, and CT scans. These methods can detect patterns, highlight abnormalities, and assist radiologists in diagnosing diseases with high accuracy. Computer vision techniques enable automated image segmentation, classification, and detection tasks, which can improve diagnostic workflows and patient outcomes. Deep learning models require large annotated datasets and significant computational resources, but they have shown remarkable success in various medical imaging applications.

What are the key skills and qualifications needed to thrive as a Deep Learning Medical Imaging Computer Vision Specialist, and why are they important?

To excel in Deep Learning Medical Imaging Computer Vision, you need a strong background in computer science, mathematics, and medical imaging, often supported by a graduate degree in a related field. Expertise with machine learning frameworks (such as TensorFlow or PyTorch), image processing tools, and experience with medical imaging standards like DICOM are typically required. Strong analytical thinking, problem-solving skills, and effective interdisciplinary communication set top candidates apart. These capabilities are crucial for developing accurate, reliable AI solutions that enhance diagnostic processes and improve patient outcomes.

What are some typical challenges faced by professionals working in Deep Learning for Medical Imaging Computer Vision?

Professionals in this field often encounter challenges such as limited availability of high-quality, annotated medical imaging data and the need to ensure model generalizability across diverse patient populations and imaging devices. Navigating strict regulatory requirements and maintaining patient privacy are also key concerns. Additionally, collaborating closely with radiologists and clinicians to interpret results and validate model outputs is essential, as is staying current with rapid advancements in both AI techniques and medical imaging technology.

What is the difference between Deep Learning Medical Imaging Computer Vision vs Medical Imaging Technologist?

AspectDeep Learning Medical Imaging Computer VisionMedical Imaging Technologist
Required CredentialsAdvanced degrees in computer science, AI, or related fields; certifications in AI/MLAssociate's or Bachelor's degree in radiologic technology; state licensure
Work EnvironmentResearch labs, tech companies, hospitals for AI developmentHospitals, clinics, imaging centers performing scans and procedures
Industry UsageDevelops algorithms for image analysis, diagnosis supportOperates imaging equipment, captures diagnostic images
Search & Comparison IntentUnderstanding AI roles in medical imagingTechnical imaging procedures and patient care

Deep Learning Medical Imaging Computer Vision focuses on developing AI algorithms to analyze medical images, while Medical Imaging Technologists operate imaging equipment to produce diagnostic images. Both roles are essential in healthcare but differ in credentials, work environment, and industry application.

Infographic showing various Deep Learning Medical Imaging Computer Vision job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Hybrid job distribution.
Senior Software Engineer, Computer Vision and Deep Learning

Senior Software Engineer, Computer Vision and Deep Learning

Mashgin

Palo Alto, CA • On-site

$200K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

About Mashgin
Mashgin powers the world's best checkout experience for over 40 million users. Customers just place their items on our kiosks and our AI rings up their entire order in less than a second. With Mashgin, lines are now optional.
Mashgin's technology powers over 1 billion transactions at your favorite locations, including over half of all US professional sports teams, 4,000 convenience stores, major airports, universities, and more.
We're not just building cutting-edge AI-we're creating real-world impact and unforgettable experiences. Backed by a well-funded Series B, we're also one of the rare AI startups that's already profitable.
Our secret? A culture of extreme ownership, autonomy, and customer obsession. At Mashgin, we are building something extraordinary by challenging conventional wisdom. We've thrown out the old rules to focus on what truly matters: creating a kickass product that makes people say, 'Wow'. We don't care about short-term wins; we build systems that stand the test of time. If you thrive in a culture of excellence without compromise and want to see your work have an immediate, remarkable impact, you're in the right place.
Position Summary
Mashgin is looking for a passionate Computer Vision engineer who loves solving everyday vision problems. Someone who is regularly saying to themselves "This could be done with computer vision!" and who loves experimenting with new algorithms. You'll work on a small dynamic team to design and implement cutting edge Computer Vision algorithms that will be used everyday by our customers.
We maintain a flat, high-impact engineering culture where every engineer who joins our team carries the title of Member of Technical Staff.
What We Value:
  • Impact: You will own significant responsibility and have total ownership over your work. We stay lean and efficient, so your work directly impacts the product we ship every day.
  • Simplicity: Complexity is a waste of time here-we take pride in building things that just work.
  • Hard Work: Forget the glamorous research papers. We prioritize the hard work it takes to achieve real-world clarity and accuracy. You will innovate relentlessly to push the boundaries of what's possible in visual automation.
  • Humility: No task is beneath you. Whether it's high-level architecture or grunt work to fix a bug, we check our egos at the door and get real work done.
  • Ruthless Prioritization: If everything is on fire, nothing is. You will be expected to prioritize ruthlessly, cutting through distractions to focus on the most impactful product improvements.
  • Customer Innovation: We are customer-centric, not customer-pleasing. You won't bend to every client demand; you will let innovation drive the product forward to solve the real problems our users face.
  • Efficiency: Meetings suck. We keep them short and only use them for alignment, giving you your time back to focus on real work.

You Will Be
  • Developing new computer vision algorithms with founders in C/C++ and Python for solving challenging real-world problems
  • Coming up with large scale data collection techniques for training Deep Neural Nets
  • Driving the development of new algorithms that dramatically improve our existing methods
  • Researching and maintaining state-of-the-art ML/CV algorithms that can analyze images
  • Coding full-stack building products from end to end

Minimum Qualifications
  • 8+ years relevant coding experience
  • Masters degree in Computer Science or related field
  • Strong background in Computer Vision
  • Exposure to new Deep Learning techniques for image recognition

Preferred Qualifications
  • MS/PhD degree or equivalent practical experience in Computer Science, AI, Machine Learning, or related technical field
  • Experience with Python or C/C++ in a Linux environment
  • Knowledge and experience in application of Deep Learning to Computer Vision problems
  • Real-world experience building Computer Vision systems

What We Offer
  • An opportunity to work on a small, multidisciplinary team with the potential to break new ground in many different industries
  • Excellent health, dental and vision insurance for you and your dependents
  • 401k plan
  • Flexible PTO policy
  • Catered lunch in office with fully stocked snacks and beverages
  • Pet insurance for your fur babies
  • Voluntary life insurance plan
  • Competitive salary and options in a small, rapidly scaling company

$200,000 - $300,000 a year
For roles based in Palo Alto, CA, the overall market range for Mashgin is typically $200,000 - $300,000 USD annually. Note that total compensation for this position will be determined by candidate's relevant qualifications, work experience, skills, and other relevant factors. This estimate excludes the value of any benefits offered by Mashgin, and the potential future value of any other long-term incentives.
Mashgin is proud to be an equal opportunity employer. Individuals seeking employment at Mashgin are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Notice on fraudulent jobs
We have been made aware of instances of fraudulent job postings and/or fraudulent recruiting activity by bad actors, claiming to represent Mashgin. These fraudulent schemes often seek monetary contributions or payments from job seekers (such as for "start up costs" or "equipment"), or seek to collect sensitive personal or banking information from job seekers. These job postings and offers are not authorized by Mashgin, and Mashgin is not responsible for fraudulent offers or requests for personal information or payments. Mashgin will never ask for any financial commitment or contribution from a candidate at any stage of the recruitment process. Candidates who have questions about the validity of Mashgin job postings or offers should consult the job postings on our mashgin.com career site. If you think you've been scammed, please reference this site for more information.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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