Вакансии

Responsibilities: — Develop foundation-model pre-training through architecture training objectives and data mixes. Requirements: — Expertise in machine learning, model architecture, generative modelling, foundation models, pre-training, and related fields such as molecular interaction, molecular structure, physics, and mathematics. Benefits: — Work onsite in the San Francisco office.

Responsibilities: — Improve foundation-model performance through data generation campaigns, evaluations, and post-training recipes. Requirements: — Experience or knowledge in machine learning, ProteinMPNN, statistics, small-molecule modelling, structure prediction, protein language models, antibodies, probability, software engineering, protein science, ESM, protein design, AlphaFold, and RFdiffusion. Benefits: — Not specified.