Computer Vision Engineer

Develop computer vision systems for object detection, OCR, and image analysis. You'll optimize models for both edge devices and cloud deployment.

What You'll Do

Design and implement computer vision models for various applications

Build OCR systems and document processing pipelines

Optimize models for edge devices and mobile deployment

Develop real-time image and video processing systems

Create data annotation and augmentation strategies

Implement model compression and quantization techniques

Collaborate with hardware teams on model deployment

What You'll Bring

4+ years of computer vision experience

Strong proficiency in OpenCV, PyTorch, and TensorFlow

Experience with object detection models (YOLO, R-CNN)

Knowledge of image processing and feature extraction

Understanding of model optimization and quantization

Experience with edge deployment (TensorRT, ONNX)

Strong background in mathematics and signal processing

Nice to Have

Experience with 3D vision and SLAM

Knowledge of medical imaging or satellite imagery

Familiarity with GPU programming (CUDA)

Understanding of augmented reality applications

What You'd Build

These aren't hypothetical projects, they're live products you can try before your first interview.

AI Ad Intelligence Platform, Creative analytics, social automation and scraping unified under one AI layer.

Influencer Marketing Platform, Scores every creator 0-100 against an ideal profile, replacing spreadsheet vetting.

Why Join StackBinary™?

Flexible working hours

Remote-friendly culture

Learning & development budget

High-ownership projects

Pragmatic engineering culture

Work with cutting-edge tech

Ready to Apply?

Join our team of builders who love shipping quality software.

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Questions about this role?

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