AI Scientist

The Role

We’re hiring an exceptional AI Scientist to lead development of our core biomolecular modeling technologies. You’ll be responsible for building and improving the foundation models that power Nabla’s therapeutic design capabilities — from architecture design and training to experimental validation. This is a rare opportunity to do AI research with real-world, large-scale experimental feedback: your models will be tested not just with loss curves and benchmarks, but in wet-lab assays measuring therapeutic function, safety, and precision.

This is an in-person role in Cambridge, MA. You will:

• Design, implement, and evaluate new training data, model architectures, training schemes, and loss functions for biomolecular generation and prediction
• Drive major improvements in generative and predictive performance based on experimental feedback
• Collaborate with AI engineers to productionize models for use in internal and pharma partner design workflows
• Stay on top of the state of the art in ML, protein modeling, and sequence design—and push it forward

Qualifications

• 5+ years of experience developing deep learning models; prior experience in generative modeling, protein/biomolecular ML, or large-scale sequence modeling is a plus
• Strong engineering fluency in Python and PyTorch
• Experience with distributed training and scaling large models in HPC/cloud environments
• Track record of creativity, rigor, and technical leadership in ML research
• Comfort working closely with experimentalists to connect model behavior to real biological outcomes