Staff Applied Scientist
Core
Build next-generation multimodal foundation models using large-scale 3D/4D content generation, simulation, and agentic systems.
Role type
Staff Applied Scientist (Multimodal AI & 3D/4D Generation)
Builds
Production-quality synthetic datasets, simulation-driven content creation pipelines, and agentic workflows for foundation model training.
Domain
Computer Graphics, 3D/4D Content Generation, Multimodal AI, Simulation
Deliverable
production ML models | product features
Required skills
Python, C++, Game Engines (Unreal, Unity, Omniverse, etc.), 3D Content Systems (meshes, textures, animation), Scalable Data Pipelines, Procedural Generation
Preferred skills
Agentic Systems, LLM-based Workflows, Diffusion/Generative Models, Real-time Rendering, Research Publications
Technologies
Python, C++, Unreal Engine, Unity, Blender, CARLA, Isaac Sim, Omniverse
Responsibilities
Develop pipelines for generating/curating 3D/4D assets; Build simulation-based data generation systems; Design agentic workflows for content manipulation; Implement asset integration pipelines for meshes/materials/animation; Design tools for procedural asset creation; Advocate software development patterns for scaling synthetic data.
Seniority
Staff, hands-on IC with strategic influence
