Teams at Isomorphic Labs

The Principal Software Engineer will ensure the reliability and scalability of AI systems, leading infrastructure improvements and optimizing ML workflows.

Research Engineer responsible for optimizing large language model post-training and scaling frontier models for drug discovery. The role involves distributed training and inference performance optimization, fine-tuning and reinforcement learning framework evaluation, bottleneck diagnosis, production system deployment, and low-precision methods. The engineer will collaborate with research and engineering teams across machine learning, computational biology, and chemistry.

Design and develop novel machine learning models and training algorithms for drug discovery. Lead and run research projects, implement and scale training/inference frameworks, analyze experiments, and collaborate across disciplines. Mentor and provide technical guidance to other ML researchers and contribute to research direction and presentations.