Visual GenAI Research Expert (Autonomous Driving)

Location: Ramat Gan, Israel; hybrid

Company

hirify.global develops technologies for preventing accidents and enabling semi- and fully autonomous vehicles.

What you will do

• Research and develop image and video generation models for autonomous driving, focusing on temporal consistency, multiview coherence, and controllable driving-scene generation.
• Explore and adapt state-of-the-art world models and help shape the research and technical direction.
• Own the development lifecycle from research and experimentation through model training, evaluation, and integration into real-world workflows.
• Build scalable, clean Python and PyTorch implementations for training and evaluating generative models.
• Collaborate with AI researchers and perception teams to develop generative capabilities for training and evaluating autonomous driving systems.

Requirements

• Ph.D. in Computer Science, Electrical Engineering, or a related field; exceptional M.Sc. candidates specializing in GenAI will also be considered.
• 5+ years of industry experience in deep learning and computer vision, preferably with generative AI or foundation models.
• Hands-on approach and ability to turn research ideas into working solutions.

Nice to have

• Hands-on experience training image or video generation models, including diffusion and flow-based models.
• Experience with world models, multiview generation, 3D scene representations, or temporal modeling.
• Experience training or adapting foundation models, including vision-language models and other multimodal models.
• Experience with distributed training and large-scale datasets.
• Publications in top-tier conferences such as CVPR, NeurIPS, ICCV, or ECCV.

Culture & Benefits

• Hybrid work in Ramat Gan, Israel.
• Access to large proprietary driving datasets.
• Close collaboration with teams developing next-generation autonomous driving technology.
• AI tools may support parts of the hiring process, while final hiring decisions are made by humans.