Foundation and generative models for biomolecules

Inceptive is a company that aims to drive forward development that could help billions of people by building biological software. The company is working on advancing the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. As part of this effort, the role will involve collaborating closely with other machine learning researchers and engineers, as well as computational and experimental biologists. The main day-to-day responsibilities will include developing, implementing, training, and iteratively improving state-of-the-art models for biomolecule design, analyzing and communicating results, and creating tools for efficient machine learning experimentation. To be considered for this role, candidates must have at least 3 years of hands-on experience developing ML models, a demonstrated track record of implementing and improving advanced machine learning models, and be highly capable programmers fluent in the Python ecosystem and PyTorch or similar deep learning frameworks. Nice-to-have skills include a PhD in AI/ML, computer science, computational biology, physics, or a related field, strong skills in designing and executing machine learning experiments, and practical experience with modern generative models. The company values in-person collaboration and expects candidates to primarily work from their office locations, with some travel required for company retreats and business events. The company offers a competitive compensation package, comprehensive health insurance, and a budget for learning and development, among other benefits.