Proxima
11 - 50 employees
Founded 2019
🧬 Biotechnology
🤖 Artificial Intelligence
💊 Pharmaceuticals
Biotechnology • Artificial Intelligence • Pharmaceuticals
Proxima is a biotechnology company that builds an integrated discovery platform to design and program protein interactions, enabling a new class of proximity-based medicines (inducers, modulators, and blockers). The company combines generative AI, advanced data-generation, and structural modeling technologies to accelerate discovery of therapeutics and collaborates with industry partners to translate induced-proximity modalities into drug candidates.
AI Scientist
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🔥 5 minutes ago
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Proxima
11 - 50 employees
Founded 2019
🧬 Biotechnology
🤖 Artificial Intelligence
💊 Pharmaceuticals
Biotechnology • Artificial Intelligence • Pharmaceuticals
Proxima is a biotechnology company that builds an integrated discovery platform to design and program protein interactions, enabling a new class of proximity-based medicines (inducers, modulators, and blockers). The company combines generative AI, advanced data-generation, and structural modeling technologies to accelerate discovery of therapeutics and collaborates with industry partners to translate induced-proximity modalities into drug candidates.
📋 Description
• 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
🎯 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
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