Snowflake
Post-Doctoral AI Researcher (2 year Fixed-Term)
- Jenis pekerjaan
- Penuh waktu
- Cara kerja
- Hibrida
- Lokasi
- US-WA-Bellevue
- Dipublikasikan
- 25 Jul 2026
- Terakhir diperiksa
- 26 Okt 2026
Tentang posisi ini
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