Decode and design the interfaces of life
AI Scientist
Location
South Korea
Posted
5 days ago
Salary
0
Seniority
Senior
Job Description
AI Scientist
Proxima
• Scientifically direct the design and training of large-scale, state-of-the art deep learning systems • Develop novel architecture and training paradigms to lead the industry in unsolved scientific problems • Collaborate with content experts from other domains (e.g., chemistry, physics, biology) to enable innovative feature-engineering and novel cross-disciplinary approaches • Actively contribute to top-tier ML conferences and journals and attend core ML conferences to stay connected with the community and current trends
Job Requirements
- MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or other related subject (will also consider BS degrees in these areas for candidates highly qualified across other requirements or with significant work experience)
- Track record of contributing to novel methods for state-of-the-art deep learning (in industry or through publications)
- Expertise in ideally several of the following topics: diffusion models, flow matching, transfusion, discrete diffusion, latent diffusion, VAEs, image generation, video generation, LLMs, multimodal LLMs, pre-training, post-training, reinforcement learning, SFT, DPO/GRPO, conditioning, classifier(-free) guidance, LORA, constrained generation scaling, distributed training, tokenization, geometric deep learning, equivariant models, structure-based drug design (SBDD), structure prediction / cofolding, curriculum learning, multi-task learning, transfer learning
- 4+ years of ML research experience in industry or academia, with strong familiarity with PyTorch
- Ability to understand business problems and how to build models that can quickly drive value, while prioritizing your research efforts accordingly
Benefits
- On-site interviews at ICML are a chance to meet our team, learn about the science, and explore fit in person
Related Guides
Related Job Pages
More AI Research Scientist Jobs
AI Research Engineer – Pre-training, LLM, Multi-Modal
Tether.toBringing real world currency to the blockchain.
• Conduct foundational pre-training for LLMs and Multi-Modal models (integrating text, vision, audio, or other modalities) on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs • Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers to enhance model intelligence and multi-modal understanding • Source, filter, and curate massive-scale textual and multi-modal datasets, establishing robust data pipelines for efficient pre-training • Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance and token efficiency • Investigate, debug, and eliminate bottlenecks in model efficiency, computational performance, and multi-modal alignment stability during long training runs • Contribute to the advancement of distributed training systems to ensure seamless scalability and hardware efficiency on target platforms
AI Research Engineer – Pre-training, LLM, Multi-Modal
Tether.toBringing real world currency to the blockchain.
• Conduct foundational pre-training for LLMs and Multi-Modal models on large, distributed servers • Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers • Source, filter, and curate massive-scale textual and multi-modal datasets • Independently and collaboratively execute experiments, analyze results, and refine training methodologies • Investigate, debug, and eliminate bottlenecks in model efficiency • Contribute to the advancement of distributed training systems
AI Research Engineer – Pre-training, LLM, Multi-Modal
Tether.toBringing real world currency to the blockchain.
• Conduct foundational pre-training for LLMs and Multi-Modal models on large, distributed servers equipped with multi-nodes & thousands of NVIDIA GPUs. • Design, prototype, and scale innovative architectures, tokenizers, and cross-modal alignment layers. • Source, filter, and curate massive-scale textual and multi-modal datasets. • Independently and collaboratively execute experiments, analyze results, and refine training methodologies for optimal performance. • Investigate, debug, and eliminate bottlenecks in model efficiency and stability during training runs. • Contribute to the advancement of distributed training systems to ensure scalability and hardware efficiency.
AI Research Engineer – Pre-training, LLM, Multi-Modal
Tether.toBringing real world currency to the blockchain.
• Conduct foundational pre-training for LLMs and Multi-Modal models • Design, prototype, and scale innovative architectures, tokenizers, and alignment layers • Source, filter, and curate massive-scale textual and multi-modal datasets • Independently and collaboratively execute experiments and analyze results • Investigate, debug, and eliminate bottlenecks in model efficiency • Contribute to the advancement of distributed training systems
