Computer Vision Engineer

About this role

A 6–12 month temporary role for recent graduates to build end-to-end computer vision expertise, from dataset annotation and QA through 3D reconstruction and model training. You'll work alongside experienced CV engineers on production perception systems, gaining hands-on experience with YOLO, PyTorch, and modern workflows while creating portfolio-worthy projects.

What you'll do

• Annotate and quality-check images and video for detection, segmentation, and classification tasks
• Develop Python tooling to manage annotation formats, validate label integrity, and compute dataset statistics
• Work on 3D reconstruction projects using photogrammetry and Gaussian splatting for AR/VR and autonomy applications
• Design and refine labeling schemas and class taxonomies based on real-world edge cases
• Run YOLO baseline training experiments to assess dataset quality and identify labeling gaps
• Document labeling conventions and edge-case decisions for team reference

What they're looking for

• Python programming
• OpenCV and NumPy
• YOLO (nice to have)
• PyTorch (nice to have)
• 3D reconstruction techniques
• Image annotation and QA
• Data validation and pipeline work
• Attention to detail

Benefits

• Mentorship from production computer vision engineers
• Exposure to the full CV pipeline from raw data to deployed models
• Hands-on experience with industry-standard tools and modern perception workflows
• Portfolio-building work including datasets, scripts, and model contributions
• Experience with emerging areas like AR/VR, SLAM, and autonomous systems