Computer Vision & AI Scientist
We are looking for a highly skilled Computer Vision & AI Scientist to join our dynamic AI team at a leading medical device company. You will help advance the state of the art in computer vision and deep learning for medical endoscopy, contributing to AI products already deployed in hospitals worldwide and used on millions of patients. If you have a strong background in Computer Vision and Deep Learning, a passion for innovation, and the drive to contribute to developing models that impact clinical practice globally, this role is for you.
- Actively collaborate with other AI scientists and cross-functional teams to develop and implement AI solutions for medical endoscopy.
- Research, implement, train and evaluate advanced computer vision and deep learning approaches for endoscopy video analysis.
- Design rigorous experimental protocols and benchmark approaches efficiently on large-scale video datasets.
- Report findings clearly and effectively through internal reports, presentations, and technical documentation.
- Stay up to date with the latest advancements in computer vision, deep learning, and medical image analysis, and support the team's continuous learning and scientific publications in top-tier conferences and journals. Support the integration of developed AI models into existing medical devices and systems.
- Contribute to internal code quality through code reviews and reproducible research practices.
- Master's degree in Computer Science, Engineering, Physics, Math or related; PhD strongly preferred (CV/ML/Medical Imaging).
- 5+ years of hands-on experience in deep learning and computer vision (industry or academia); at least part of it on detection/segmentation, tracking and classification problems.
- Strong proficiency in Python and PyTorch; good software engineering practices (GitHub/Gitlab).
- Proven track record of working on innovative computer vision projects resulting in scientific publications, patents or public repositories.
- Excellent analytical, problem-solving, and communication skills, with a collaborative mindset and the ability to work effectively both independently and as part of a team.
- Fluency in English (written and spoken)
Email us with your CV, résumé or portfolio, and a cover letter explaining your motivation for applying. Please include the job title in your email subject line.
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