AI Research Scientist

Silicon Valley Startup | Collaboration with Stanford Researchers

GenMD is a Stanford spin-off building AI and data infrastructure for healthcare. We are looking for an AI Research Scientist to work on large language models (LLMs), synthetic data generation, model evaluation, and scalable model training.

The company was built out of years inside Stanford Medicine, working closely with world-class researchers and clinicians. We have access to tens of millions of patients, longitudinal health records, and clinical notes. GenMD is just coming out of stealth, already revenue-generating, well-funded, and backed by premier investors with years of runway. We’re intentionally small, move fast, and are focused on building something fundamental. CEO is a former Associate Director of AI, Stanford Medicine, Stanford University.

What You'll Work On

• Train, fine-tune, and optimize LLMs using PyTorch and Hugging Face.

• Build synthetic data generation pipelines at scale.

• Develop LLM benchmarks, automated evaluation pipelines, and LLM-as-a-Judge systems.

• Experiment with supervised, semi-supervised, and unsupervised learning.