Vision Researcher – Multimodal Understanding & Generation in Foundation Models

Responsibilities:
1. Serve as a domain expert in computer vision and collaborate with researchers from other modalities to drive cutting-edge research in native multimodal foundation models, including novel architecture design and modeling for “2D + time” and “3D + time” scenarios.
2. Explore the training and design of large models for understanding and generating representations of the physical world, multimodal reasoning, and self-evolving continual learning.
3. Stay up to date with the latest advancements in academia and industry; actively participate in international conferences and workshops, and engage with leading global research teams.
4. Contribute impactful research outcomes to the open-source community or transfer technologies to internal product teams.
 
Work Location: US-Washington-Bellevue

Qualifications:
1. Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, Computer Vision, Machine Learning, or a related field.
2. Proven multi-modal research experience in relevant areas, with familiarity with state-of-the-art technologies and a strong publication record in top-tier conferences or journals such as CVPR, ICCV, ECCV, NeurIPS, ICLR, or ICML.
3. Proficiency with mainstream open-source tools and frameworks relevant to the field, and strong engineering skills to support research implementation; candidates with influential GitHub projects or contributions to high-impact open-source communities are preferred.
4. Strong team spirit and ability to collaborate across disciplines, excellent communication skills, intellectual curiosity, and a goal-oriented, problem-solving mindset.。加分项：