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)