Gen AI Staff Researcher

설명

GM Israel (Herzliya) takes a significant part in introducing sophisticated software features into car in many domains like connected cars, advanced camera technologies and research. We shape the face of the future vehicles in diverse fields by developing cutting edge technologies that define how drivers experience safety, awareness, and confidence on the road.

GM is committed to Zero Emission, Zero Crashes and Zero Congestion vision. 

About the Group

At the autonomous vehicles Foundational AI Research team in Israel, which is part of the GM AV AI Research organization, we are 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. We are a collaborative, forward-thinking group of researchers and engineers tackling some of the most complex challenges in autonomy and machine learning.

About the Role

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, conditioned on sensor observations, actions, and scene context.

You will contribute hands-on throughout the research lifecycle, from exploring new ideas to large-scale experimentation and implementation, advancing model architectures, training objectives, data strategies, and evaluation methods. As an expert member of the team, you will bring scientific rigor, share technical knowledge, and work closely with fellow researchers and partners in Perception, Behavior/Policy, Data, Simulation, and Validation to translate generative AI advances into measurable improvements in autonomy KPIs. You will also contribute high-quality publications at top-tier conferences and journals and collaborate with leading academic partners.

At the GM Foundational AI Research group, your work will influence millions of drivers worldwide and define what’s next in autonomous driving. If you're passionate about solving hard problems and advancing the frontiers of generative AI and autonomous driving, we want you on our team.

What will YOU do?

• 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.

Your Skills & Abilities (Required Qualifications)

• 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.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.