Computer Vision Researcher Generative AI
We are looking for a Computer Vision Researcher to join our teams venture - advancing state-of-the-art generative AI solutions for image and video processing in our products. You will design experiments, train models, and develop inference techniques for image and video manipulation. You will collaborate with fellow researchers and engineers to innovate and apply cutting-edge research to solve real-world challenges in production.
- Develop, train and evaluate models for generative image & video solutions.
- Conduct applicative research in generative AI, with an emphasis on diffusion models.
- Identify, prioritize, and execute ambitious research efforts as well as intermediate milestones.
- Collaborate with fellow researchers, engineers and product teams to deploy AI models.
- Develop, train and evaluate models for generative image & video solutions.
- Conduct applicative research in generative AI, with an emphasis on diffusion models.
- Identify, prioritize, and execute ambitious research efforts as well as intermediate milestones.
- Collaborate with fellow researchers, engineers and product teams to deploy AI models.
Requirements:
Minimum Qualifications:
MSc in Computer Vision or a related field.
Expertise in Computer Vision and image processing research.
Proficiency in Python, PyTorch, and other modern ML frameworks.
Motivation to work and collaborate within a friendly, innovative and cooperative team.
Preferred Qualifications:
PhD in Computer Vision or a related field.
Experience in training generative models (e.g. diffusion models) and applying them for various tasks.
Proven experience in product-focused applicative research in the industry.
Strong research track record (publications in NeurIPS, CVPR, ICCV, ECCV, etc.).
Minimum Qualifications:
MSc in Computer Vision or a related field.
Expertise in Computer Vision and image processing research.
Proficiency in Python, PyTorch, and other modern ML frameworks.
Motivation to work and collaborate within a friendly, innovative and cooperative team.
Preferred Qualifications:
PhD in Computer Vision or a related field.
Experience in training generative models (e.g. diffusion models) and applying them for various tasks.
Proven experience in product-focused applicative research in the industry.
Strong research track record (publications in NeurIPS, CVPR, ICCV, ECCV, etc.).
This position is open to all candidates.
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