Gen AI Staff Researcher
Salary not listed • Herzliya, Tel Aviv District, Israel • Full-time
Posted 20d ago
Job Location
Herzliya, Tel Aviv District, Israel
Tech Stack
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Research Engineer
About the job
The Foundational AI Research team in Israel is shaping next-generation autonomous driving (L3 and beyond) by advancing the state of the art in AI for autonomous vehicles. As a Gen AI Staff Researcher, you will contribute deep technical expertise to a collaborative research team developing generative world models, with a focus on the design and large-scale training of diffusion models for autonomous driving. You will research and develop models that learn the dynamics of driving environments and generate realistic, temporally consistent, and controllable future scenarios. Your work will influence millions of drivers worldwide and define what’s next in autonomous driving.
Responsibilities
- Contribute original research and technical expertise to generative world models, focusing on diffusion-based modeling of driving environments.
- Design, build, train, and evaluate large-scale diffusion models for video and multimodal generation.
- Implement and optimize large-scale training on distributed, multi-GPU infrastructure.
- Develop action- and context-conditioned world models for generating future scenarios and supporting counterfactual exploration.
- Develop and evaluate data and training strategies for fleet-scale datasets.
- Develop and apply rigorous evaluation methods connecting generative quality to downstream KPI improvements.
- Collaborate with engineering teams to translate research into scalable solutions for simulation and synthetic data generation.
- Publish research at top-tier conferences and journals, and track emerging advances in generative AI.
Requirements
- PhD in Computer Science, Electrical Engineering, Robotics, or a related field (M.Sc. graduates with excellent qualifications will be considered).
- Over 3 years of research experience in generative AI, computer vision, machine learning, or related areas.
- Deep expertise in diffusion models and hands-on experience designing, training, and evaluating generative models.
- Hands-on experience with large-scale distributed training of deep learning models.
- Strong understanding of world modeling and spatiotemporal learning.
- Strong publication record at top-tier AI/ML conferences and journals.
- Excellent coding skills in Python and proficiency with AI frameworks like PyTorch.