Machine Learning Scientist — Large multimodal models

About this role

Join Iambic Therapeutics as a Machine Learning Scientist to research and develop Enchant, a large multimodal transformer model for drug discovery. You'll advance model architectures, optimize training and inference at scale, and collaborate across ML and scientific teams to deploy AI technologies that impact therapeutic development.

What you'll do

• Design and implement architectural improvements to multimodal transformer models for biomedical applications
• Optimize training pipelines and inference techniques for efficient deployment across GPU clusters
• Develop benchmarking frameworks to evaluate model quality across modalities and downstream tasks
• Collaborate with ML engineers and computational scientists to deploy models into discovery workflows
• Partner with chemists and biologists to align model development with drug discovery requirements
• Mentor junior team members and contribute to research roadmap strategy (depending on level)

What they're looking for

• Python and PyTorch
• Transformer model training at scale
• Deep learning implementation end-to-end
• Training and inference optimization
• ML infrastructure (Docker, CUDA, Kubernetes, Weights & Biases)
• Multimodal and multi-task architectures
• Distributed training
• Reproducible experimentation and clean code practices