Senior Computer Vision Engineer - Summary
Join our cutting-edge R&D team developing a next-generation vision-assisted surgical robotics platform. You will design, develop, and integrate advanced Computer Vision and Machine Learning algorithms using medical imaging and sensor data, working closely with multidisciplinary experts in a dynamic, innovation-driven environment.
Key Responsibilities
- Lead end-to-end development of CV/ML algorithms-from ideation and data collection to modeling, testing, validation, and integration.
- Build deep learning models for scene understanding, video analysis, and human-object interaction detection (CNNs, RNNs, transformers, hybrid and multimodal models).
- Manage and preprocess large datasets evaluate and optimize model performance.
- Research and apply state-of-the-art techniques contribute to team best practices and tools.
- Translate algorithmic requirements into practical, production-ready solutions.
Qualifications
- MSc in CS/EE/Math/Physics (PhD preferred).
- 5+ years of hands-on Computer Vision experience.
- Strong ML/DL background proficient in Python and C++.
- Experience with TensorFlow/PyTorch, OpenCV, IPP Linux proficiency.
- Ability to independently lead ML projects strong communication and teamwork skills.
- Advantageous: experience in GNNs, scene/video understanding, VLMs/LMMs, W&B/ClearML, and medical device environments.
