ML Research Scientist, Foundation Models (Senior / Staff / Principal)

Role: Lead innovative research in generative AI for drug discovery at Genesis Molecular AI, focusing on developing foundation models for molecular data. Responsibilities: design and execute experiments on models such as diffusion, flow matching, and reinforcement learning; collaborate with multidisciplinary teams to translate research into applications; publish work in top AI conferences; mentor colleagues. Requirements: PhD in machine learning, computer science, or related fields; strong publication record; expertise in deep learning, generative models, and programming in PyTorch; experience with distributed training on GPU clusters. Preferred: familiarity with molecular data, physics-informed ML, and tools like PyTorch Lightning. High-value: cutting-edge generative modeling, applications in small molecules or proteins, models trained on large-scale molecular datasets, and integration into AI-driven drug discovery platforms. Work setup: not specified; emphasis on collaboration and innovation.