proxima - AI Scientist ICLR 2026
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 leep 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 • Strength across core ML fundamentals • Extensive hands-on experience and ability to design and tune models from scratch • Experience with large models and scaling • Experience with generative models for molecules/proteins
Responsibilities
• 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
Benefits
• We’re hiring AI Scientists to build the world’s most advanced pipeline for the design of proximity-inducing molecules • You’ll work with a world-class ML research team on unsolved problems at the intersection of generative AI and drug discovery • On-site interviews at ICLR are a chance to meet our team, learn about the science, and explore fit in person • We’re looking for people who want to push the state of the art in structure prediction, molecular generation, and foundation models for biology
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