Gen AI Staff Researcher

Описание

At the autonomous vehicles Foundational AI Research team in Israel, which is part of the GM AV AI Research organization, you will be shaping next-generation autonomous driving, L3 and beyond. The AI Research organization is dedicated to advancing the state of the art in AI for autonomous vehicles.

Responsibilities

• Contribute original research and technical expertise to generative world models, with a focus on diffusion-based modeling of driving environments and their dynamics
• Design, build, train, and evaluate large-scale diffusion models for video and multimodal generation, emphasizing temporal consistency, physical plausibility, and controllability
• Implement and optimize large-scale training on distributed, multi-GPU infrastructure, working with fellow researchers and engineering partners to improve training stability, throughput, memory efficiency, and scalability
• Develop action- and context-conditioned world models that generate diverse future scenarios and support counterfactual exploration, closed-loop simulation, and long-tail scenario coverage
• Develop and evaluate data and training strategies for fleet-scale datasets together with the team, including data curation, pretraining, fine-tuning, and targeted generation of challenging driving scenarios
• Develop and apply rigorous evaluation methods that connect generative quality, consistency, and scenario coverage to downstream KPI improvements for the autonomous driving agent
• Collaborate with engineering teams to translate state-of-the-art research into scalable solutions for simulation, synthetic data generation, and autonomy development
• Publish research at top-tier conferences and journals, track emerging advances in generative AI, and incubate technologies aimed at impacting our L3 autonomous driving technology

Requirements

• PhD in Computer Science, Electrical Engineering, Robotics, or a related field (Excellent M.Sc. graduates will be considered)
• Over 3 years of research experience in generative AI, computer vision, machine learning, or related areas, with demonstrated depth of expertise and impactful contributions to complex research projects
• Deep expertise in diffusion models and hands-on experience designing, training, and evaluating generative models for images, video, or multimodal data
• Hands-on experience with large-scale distributed training of deep learning models, including training stability, performance optimization, and systematic experimentation
• Strong understanding of world modeling and spatiotemporal learning, including temporal consistency, conditioning mechanisms, and learning environment dynamics
• Strong publication record at top-tier AI/ML conferences and journals
• Excellent coding skills in Python and proficiency with modern AI frameworks such as PyTorch

We offer

• Hybrid work model
• Full time employment