AI/Research Scientist
research — Singapore
We are looking for extraordinary research scientists in the Multimodal Generative AI field. As a research scientist, you discover new research problems, develop novel methods, train new models, design comprehensive experiments, and generally advance the state of the art in Generative AI. Research scientists have the opportunities of choosing their research agenda between fundamental research and applied projects, and the responsibilities of contributing for both research and product innovations.
Candidates should have a strong background in one or more of the following fields in AI: Generative AI, multimodal GenAI, Computer Vision, Computer Graphics, etc. In addition, applicants should have in-depth problem-solving experience in real-world problems or product developments, such as image/video processing, image/video generation, language and vision, etc.
Responsibilities
- Work on cutting-edge research in Multimodal Generative AI, training large language models.
- Find and build ambitious, long-term research goals.
- Develop innovative solutions for real-world, large scale problems.
- Lead teams to deliver on more complex applied research projects.
- Senior researchers may advise junior research scientists or mentor interns.
Qualifications
- PhD degree (or minimum Master degree) in computer science, computer engineering, electrical engineering, statistics, applied mathematics, artificial intelligence, data science or other related technical fields
- Work experience with one or more of the AI related areas: Generative AI, Multimodal AI, Image Generation, Video Generation, Computer Vision, Multimedia, Computer Graphics
- Deep experience with PyTorch and/or JAX
- Familiar with modern deep learning libraries such as Transformers and Diffusers
- Track record of publications at top-tier AI conferences or journals (e.g. NIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV, KDD, PAMI, JMLR, TACL, IJCV, etc)
- Minimum 1 years of experience in related positions
- (preferred) Full time industry experience in AI research or product developments
- (preferred) Familiar with Multimodal Generative AI landscape and products
- (preferred) Research experience in training large multimodal generation models such as image or video generation