Computer Vision Research Engineer

Computer Vision Engineer

Role & Responsibilities

• Design and implement computer vision algorithms and downstream processing
• Build ML pipelines for data handling, training, and validation
• Develop robust, efficient, well-tested production code
• Analyze performance metrics and optimize models

Required Qualifications

• BTech/MTech with proven experience in computer vision and ML
• Strong proficiency in C++ and Python (PyTorch/TensorFlow)
• Deep understanding of CV models: object detection, semantic segmentation, keypoint detection
• Knowledge of traditional CV concepts (SIFT, camera calibration, fundamental matrix)
• Experience with production ML pipelines, from dataset collection to deployment
• Proficiency in debugging and profiling tools (Nvidia Nsight, etc.)
• Excellent problem-solving and documentation skills

Preferred Qualifications

• Publications in top-tier CV/ML conferences or journals
• Experience with both TensorFlow and PyTorch
• Track record of building algorithms from scratch

What We Value

• Hands-on approach to data analysis and optimization
• Ability to iterate quickly in early-stage development
• Clear technical communication and documentation

Compensation