Post-Doctoral AI Researcher (2 year Fixed-Term)

What you'll do

• Formulate and conduct research projects, including large-scale experiments using deep learning frameworks.
• Publish research and contribute through open-source releases and collaboration with academic and industry partners.
• Develop AI models and systems for high-stakes, regulated domains in collaboration with researchers, engineers, and domain experts.

What they ask for

• PhD (or expected completion by start date) in Computer Science, Statistics, Mathematics, or a related STEM field, or equivalent practical experience.
• Research experience in machine learning or AI techniques.
• Proficiency in Python and experience training deep learning models using PyTorch, JAX, TensorFlow, or equivalent frameworks.
• One or more scientific publication submissions to top AI or applied domain research venues.

Nice to have

• Research at the intersection of AI and medicine, finance, or law; experience with LLMs or foundation models in applied settings.
• Familiarity with high-stakes AI evaluation, domain-applied AI publications, RAG, knowledge graphs, or structured reasoning over domain-specific data.

Pay

$160K – $220K (currency not stated; compensation type not stated)

Tools

Python, PyTorch, JAX, TensorFlow

AI focus

Fundamental and applied machine learning research for medicine, finance, and law, including high-stakes AI systems; optional work with LLMs, foundation models, RAG, and knowledge graphs.