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

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Post-Doctoral Researcher for our AI Research team. This 24 month fixed-term position is designed for recent PhD graduates looking to deepen their research experience on challenging problems at the frontier of AI — specifically, applying machine learning to high-impact real-world domains like medicine, finance, and law. You'll collaborate closely with Snowflake researchers, scientists, and engineers on fundamental and applied problems, publishing high-quality work while helping shape how AI integrates with the world's most consequential industries. AS A POST-DOCTORAL RESEARCHER AT SNOWFLAKE, YOU WILL: - Collaborate with research mentors to formulate research projects or novel applications of machine learning aligned with the team's mission, with a focus on AI applied to medicine, finance, or law - Conduct independent and collaborative research and publish high-quality work at top AI and domain-applied research venues - Design and execute large-scale experiments using modern deep learning frameworks, writing high-quality, reusable code - Develop models and systems that bridge AI capabilities with real-world application requirements in high-stakes, regulated domains - Engage across teams — including with domain experts and applied engineering — to ground research in practical constraints and real-world impact - Contribute to the broader research community through publications, open-source releases, and collaboration with academic and industry partners OUR IDEAL POST-DOCTORAL RESEARCHER WILL HAVE: - 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 (e.g., open-source projects, campus lab experience, research internships, or publications) - Proficiency in Python and experience training deep learning models using PyTorch, JAX, TensorFlow, or equivalent frameworks - One or more scientific publication submissions in top AI or applied domain research venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL — or equivalent high-quality venues in medicine, finance, or law) - Ability to work independently and collaborate effectively across research teams and domain experts BONUS POINTS FOR THE FOLLOWING: - Research background at the intersection of AI and one or more of: medicine (clinical NLP, medical imaging, drug discovery), finance (quantitative modeling, risk, forecasting, market analysis), or law (legal NLP, contract analysis, reasoning, compliance) - Experience designing, fine-tuning, or evaluating LLMs or foundation models in applied domain settings - Familiarity with evaluation challenges in high-stakes AI — fairness, explainability, robustness, or regulatory constraints - Publications at domain-applied AI venues (e.g., CHIL, ML4H, FinNLP, NLLP) - Experience with retrieval-augmented generation (RAG), knowledge graphs, or structured reasoning over domain-specific data Snowflake is growing fast, and we’re scaling our team to h