3D/AI Computer Vision Intern

About Us:

SnugFit Solutions is a fast-growing innovator in mobile 3D imaging. Headquartered in McLean, VA, we specialize in personalized 3D scanning solutions for the global orthotics and prosthetics (O&P) market. Our suite of tools—including the SnugFit O&P 3D Scanner App and the SnugFit SDK—empowers clinics and developers worldwide to deliver customized medical and non-medical solutions.

Role Description:

We are seeking experienced 3D/AI Computer Vision Interns to join our R&D team. You'll work closely with senior engineers and scientists to develop, test, and optimize algorithms in mobile 3D and AI algorithms. You'll have the opportunity to work on real-world problems and contribute to cutting-edge solutions that impact global healthcare and consumer markets.

Responsibilities:

• Assist in the development and optimization of 3D and AI algorithms
• Work with 3D scan data for analysis, segmentation, and surface modeling
• Collaborate with the team to run experiments, evaluate algorithm performance, and debug issues
• Participate in weekly engineering meetings, share progress, and explore creative solutions
• Assist with writing technical documentation and reports

Qualifications:

• 2+ years of experience (academic or professional) in computer vision and machine learning
• Proficient in C/C++, Python, and at least one of Objective-C or Swift
• Experience with AI based segmentation, classification algorithms on 2D and 3D image data
• Familiarity with iOS development is a plus
• Strong problem-solving and communication skills
• Degree in Computer Science, Electrical/Mechanical Engineering, or a related field (B.S. or above preferred)

Bonus:

• Past projects in mobile AI, AR, SLAM, or photogrammetry
• Enthusiasm for healthcare innovation and real-world impact

Why Join Us?

• Work in a high-impact field with real clinical applications
• Gain exposure to 3D imaging, mobile AI, and cross-platform development
• Mentorship from experienced engineers and researchers
• Flexible work culture and collaborative environment
• Competitive internship compensation