Computer Vision Intern

Department: R&D / Innovation
Reports To: Head of Technology / Product Lead
Location: On-site
Duration: 6 months to 1 year
Start Date: Immediate

Position Summary

The AI / Computer Vision Engineering Intern will be responsible for developing and validating computer vision models enabling real-time anatomical recognition for an augmented reality (AR) surgical navigation system.

This role focuses on one core objective: transforming camera input into reliable anatomical detection and actionable guidance for surgical use.

The intern will work at the intersection of AI, software integration, and real-world validation, contributing directly to a system tested in cadaver labs and surgeon environments.

Key Responsibilities

AI Model Development

• Develop and train Algorithms/computer vision models for anatomical structure detection from camera input
• Improve model accuracy, robustness, and real-time performance
• Optimize inference speed to meet real-time constraints

Data & Dataset Management

• Build and structure training datasets from internal and external sources
• Prepare, clean, and label image data for supervised learning
• Ensure data quality and consistency for model training

System Integration

• Integrate trained models into the AR navigation pipeline
• Connect model outputs (segmentation, landmarks) to downstream modules
• Support deployment within a real-time application environment

Testing & Validation

• Run experiments on real surgical cases and cadaver lab data
• Measure and report performance (accuracy, latency, robustness)
• Identify failure modes and iterate rapidly

Expected Deliverables

By the end of the internship, the candidate within the Team is expected to deliver:

• A functional AI model capable of detecting anatomical structures from camera input
• A landmark-based orientation estimation module
• Integration of AI outputs into a live AR navigation system
• A validation report including performance metrics, limitations, and improvement recommendations

Qualifications

• Engineering student (Computer Science, AI, Robotics, or related field)
• Strong programming skills in Python
• Experience with computer vision and/or deep learning (PyTorch preferred)
• Familiarity with image processing and dataset handling
• Ability to work hands-on: build, test, iterate quickly

Additional Information

• Direct exposure to real surgical validation environments (cadaver labs, surgeon testing)
• Fast-paced, execution-driven team with minimal bureaucracy
• High-impact role with direct contribution to a product in development

Why This Role Matters

This position is not a research internship.
The work delivered will be integrated into a real system used for surgical navigation.

The candidate will operate in short development cycles with immediate feedback from real-world testing.