Gen AI Staff Researcher
Core
Design and train large-scale diffusion models for generative world models to simulate driving environments and dynamics for autonomous driving.
Role type
Staff Researcher (Generative AI / Autonomous Driving)
Builds
Generative world models, synthetic driving scenarios, and simulation environments for L3+ autonomy.
Domain
Autonomous Vehicles / Generative AI / Computer Vision
Deliverable
production ML models
Required skills
Diffusion models, Generative AI, World modeling, Spatiotemporal learning, Distributed training, Python, PyTorch, Research methodology
Preferred skills
Publications at top-tier AI/ML conferences, Experience with fleet-scale datasets
Technologies
PyTorch, Multi-GPU infrastructure, Distributed training frameworks
Responsibilities
Design and train large-scale diffusion models for video and multimodal generation; Implement and optimize training on distributed infrastructure; Develop action- and context-conditioned world models; Develop data and training strategies for fleet-scale datasets; Apply rigorous evaluation methods connecting generative quality to downstream KPIs; Collaborate with engineering teams to translate research into scalable solutions; Publish research at top-tier conferences.
Seniority
Staff, hands-on IC with strategic impact