As a senior computer vision AI/ML researcher you will:Drive Innovation: Explore and innovate novel and SOTA techniques and algorithms in ML/AI/computer vision staying current with the latest advancements in the Models: Design implement and optimize deep learning models for various computer vision tasks applied to Performance: Implement and validate models using diverse and large datasets ensuring robustness accuracy and for Efficiency: Investigate knowledge distillation techniques to enhance the performance of your models and optimize them for on-device Rigorously: Design and implement various metrics to rigorously evaluate model Data: Prepare filter process and analyze large-scale datasets for training and evaluating models. Thoroughly analyze algorithm results and benchmark against leading Effectively: Work closely with interdisciplinary international teams including clinicians designers and engineers to integrate models into large programs and research studies.
- Solid foundation in computer vision machine learning and deep learning principles.
- Experience working with large scale datasets
- Proficiency in Python AI coding tools and deep learning frameworks (e.g. PyTorch)
- Publications in top-tier computer vision conferences (CVPR ICCV ECCV)
- PhD or Masters degree in Computer Science Electrical Engineering or related field
- Experience with imaging in the health domain.
- Strong analytical skills detail-oriented approach and a passion for problem-solving.
- Excellent written and verbal communication skills.
Required Experience:
Senior IC
As a senior computer vision AI/ML researcher you will:Drive Innovation: Explore and innovate novel and SOTA techniques and algorithms in ML/AI/computer vision staying current with the latest advancements in the Models: Design implement and optimize deep learning models for various computer vision t...
As a senior computer vision AI/ML researcher you will:Drive Innovation: Explore and innovate novel and SOTA techniques and algorithms in ML/AI/computer vision staying current with the latest advancements in the Models: Design implement and optimize deep learning models for various computer vision tasks applied to Performance: Implement and validate models using diverse and large datasets ensuring robustness accuracy and for Efficiency: Investigate knowledge distillation techniques to enhance the performance of your models and optimize them for on-device Rigorously: Design and implement various metrics to rigorously evaluate model Data: Prepare filter process and analyze large-scale datasets for training and evaluating models. Thoroughly analyze algorithm results and benchmark against leading Effectively: Work closely with interdisciplinary international teams including clinicians designers and engineers to integrate models into large programs and research studies.
- Solid foundation in computer vision machine learning and deep learning principles.
- Experience working with large scale datasets
- Proficiency in Python AI coding tools and deep learning frameworks (e.g. PyTorch)
- Publications in top-tier computer vision conferences (CVPR ICCV ECCV)
- PhD or Masters degree in Computer Science Electrical Engineering or related field
- Experience with imaging in the health domain.
- Strong analytical skills detail-oriented approach and a passion for problem-solving.
- Excellent written and verbal communication skills.
Required Experience:
Senior IC
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