6 дней назад
Applied AI Researcher (Visual GenAI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Researcher (Visual GenAI): Developing generative models and computer vision solutions for real-world autonomous driving applications with an accent on visual synthesis, diffusion models, and large-scale proprietary datasets. Focus on adapting state-of-the-art architectures, integrating synthetic data into perception systems, and building scalable Python and PyTorch implementations.
Location: Ramat Gan, Israel; hybrid workplace
Company
develops perception and autonomous driving technologies aimed at improving road safety and enabling semi- and fully autonomous vehicles.
What you will do
- Own the full development lifecycle of generative models, from training to adapting state-of-the-art architectures for autonomous driving use cases.
- Research, evaluate, and improve Generative AI and computer vision models.
- Implement scalable and clean solutions in Python and PyTorch.
- Collaborate with AI researchers and perception teams to integrate synthetic data into real-world applications.
- Track advancements in AI, generative models, and computer vision.
Requirements
- Master’s degree 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.
Nice to have
- Experience with Generative AI methods, including diffusion models and GANs.
- Experience with Vision-Language Models and multimodal learning.
- Publications in top-tier conferences such as CVPR, NeurIPS, or ECCV.
- Experience with Linux, AWS, Docker, and virtual environments.
- Knowledge of classic computer vision.
Culture & Benefits
- Work with massive proprietary datasets and large-scale computing infrastructure.
- Collaborate with researchers and engineers from multiple disciplines.
- Develop technology with potential real-world impact on road safety and autonomous mobility.
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