About this role

Develop novel architectures and training approaches for vision and multimodal AI.
Advance generative modeling techniques including controllable diffusion and video generation.
Design experiments improving realism, temporal consistency, and human representation.
Collaborate with applied engineering teams to translate research into production systems.
Publish white papers or research outputs aligned with product differentiation.
Evaluate new model paradigms for scalability and efficiency.

PhD in Computer Science, Artificial Intelligence, Robotics, Computer Vision, or related field.
Strong research background in computer vision, generative modeling, or multimodal AI.
Strong programming skills in Python and familiarity with object-oriented languages.
Experience with deep learning frameworks (PyTorch preferred).
Strong foundations in machine learning theory and experimental design.
Publications at top conferences (CVPR, ICCV, NeurIPS, ICLR, SIGGRAPH, etc.).
Experience with diffusion-based generative models.
Video modeling or temporal learning experience.
Experience bridging research into production systems.
Interest in compute efficiency, distillation, or scalable generative pipelines.

AI Researcher – Computer Vision, Multimodal, Generative AI

Key skills