Join the group that builds the foundation of Mobileyes perception stack. We are looking for a key member to join our Visual GenAI team, dedicated to advancing state-of-the-art research in visual synthesis and Diffusion Models within a high-impact, real-world AV environment.
What will your job look like:
Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.
What will your job look like:
Own the full development lifecycle: from training generative models to adapting existing state-of-the-art architecture for concrete, real-world autonomous driving use cases.
Research, evaluate, and improve GenAI and computer vision models with a focus on scalable and clean Python implementation.
Collaborate with cross-functional teams, including AI researchers and perception teams, to integrate synthetic data into real-world AI applications.
Stay up to date with the latest advancements in AI, Generative Models, and Computer Vision.
Requirements:
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
3+ years of industry experience in Deep Learning and Computer Vision.
Excellent proficiency in Python and PyTorch.
Strong problem-solving, research, and analytical thinking skills.
Advantages:
Experience with Generative AI methods (Diffusion Models, GANs, etc.).
Experience with Vision-Language Models (VLMs) and Multi-modal learning.
Publications in top-tier conferences (CVPR, NeurIPS, ECCV, etc.).
Experience with Linux, AWS, Docker, and virtual environments.
Knowledge of classic computer vision.
M.Sc. or Ph.D. in Computer Science, Electrical Engineering, or a related field.
3+ years of industry experience in Deep Learning and Computer Vision.
Excellent proficiency in Python and PyTorch.
Strong problem-solving, research, and analytical thinking skills.
Advantages:
Experience with Generative AI methods (Diffusion Models, GANs, etc.).
Experience with Vision-Language Models (VLMs) and Multi-modal learning.
Publications in top-tier conferences (CVPR, NeurIPS, ECCV, etc.).
Experience with Linux, AWS, Docker, and virtual environments.
Knowledge of classic computer vision.
This position is open to all candidates.
