Key skills
PyTorchMLDeep Learning
About this role
Role Overview
- Scientifically direct the design and training of large-scale, state-of-the art deep learning systems
- Develop novel architecture and training paradigms
- Collaborate with content experts from other domains
- Actively contribute to top-tier ML conferences and journals
Requirements
- MS/PhD degree in Computer Science, Statistics, Applied Mathematics, Computational Biology, Computational Chemistry or related subject
- Track record of contributing to novel methods for state-of-the-art deep learning
- Expertise in several topics: diffusion models, flow matching, transfusion, discrete diffusion, VAEs, image generation, LLMs, multimodal LLMs, reinforcement learning, SBDD, structure prediction / cofolding
- 4+ years of ML research experience in industry or academia
- Strong familiarity with PyTorch
- Ability to understand business problems and build models accordingly
Tech Stack
- PyTorch
Benefits
- Opportunity to work with a world-class ML research team
- Chance to push the state of the art in structure prediction and molecular generation