chaidiscovery

Chai Discovery builds a computer-aided design suite for molecules, utilizing artificial intelligence to predict and reprogram the interactions between biochemical molecules. The company trains frontier models that learn the underlying foundations of biochemical structure and interaction, allowing scientists to design new medicines from scratch and pursue targets that traditional methods cannot reach. Its platform serves life sciences organizations, powering drug discovery programs through collaborations, licensing agreements, and partnerships with pharmaceutical companies such as Novartis, Pfizer, Eli Lilly, and argenx.

In the field of artificial intelligence and machine learning, Chai Discovery develops models that move beyond protein structure prediction into real-world therapeutic engineering and antibody discovery. The organization creates core frameworks for model training and evaluation, builds training stacks across model, layer, and kernel levels, and implements agent-powered systems and frameworks to accelerate inference and automate the research loop. Its technology stack handles large GPU clusters, workload optimization through parallelism and quantization, and fault-tolerant, deterministic orchestration for long-running, large-scale training jobs.

Open roles at Chai Discovery indicate that the company is actively building engineering teams focused on research engineering, machine learning infrastructure, and automation for AI research. The current open positions include Research Engineer for Auto Research and Research Engineer for ML Infrastructure. These roles are based out of the company's San Francisco office, requiring professionals with strong software system design skills, proficiency in Python, and fluency in PyTorch or JAX to work on scalable machine learning systems and agent-powered software.