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Deep Learning Medical Imaging Computer Vision Jobs

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 ...

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 ...

The Carbon Robotics LaserWeeder™ leverages advanced robotics, computer vision, AI/deep learning ... Fully-paid medical, dental, and vision insurance premiums for you and all dependents * Choice of ...

Responsibilities : • Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments • Own model ...

Senior Deep Learning Engineer

New York, NY · On-site

$114K - $157K/yr

... of computer vision in real-world environments. You'll be joining a small, highly capable team ... Comprehensive medical, dental, and vision coverage * Perks : Free lunches and dinners provided This ...

Computer Vision Engineer Sr I

Naples, FL · On-site

$105K - $123K/yr

Working knowledge of deep learning frameworks (e.g., TensorFlow, PyTorch) preferred * Strong ... Medical, Dental and Vision Insurance * Company-Provided Life Insurance * Voluntary Life Insurance

... imaging technologies and Machine Learning. * As a computer vision engineer, you will be using ... medical equipment, and more. * - Design, implement, and deploy full-stack machine vision/image ...

... deep learning * - To design, implement, and deploy full-stack computer vision and machine learning solutions Detailed s * - Deep Learning Network Training and Deployment to wide range of CV ...

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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.
Computer Vision AI Engineer

$114K - $134K/yr

Full-time

Posted 24 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Job Summary:
Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join their growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data, contributing to mission-critical solutions.
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, test, and deploy technical solutions in Python, C++, and Rust.
• Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications.
• Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
• Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust.
Qualifications:
Required:
• 7+ years of experience in sensor fusion and target tracking
• Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM
• Experience in artificial intelligence, data science, machine learning engineering, or software engineering
• Experience with developing technical solutions using Python, C++, or Rust
• Ability to obtain a Secret clearance
• Bachelor's degree in Science, Technology, Engineering, or Mathematics
Preferred:
• Experience with embedded systems programming in C, C++, or Rust
• Experience in GPU programming, including CUDA or RAPIDs
• Experience with developing in-space solutions
• Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
• Secret clearance
• Master’s degree in Computer Science, Artificial Intelligence, or a related field
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Benefits

Hours and flexibility

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914