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

FDE Times; Bellevue (WA); On-site; USD 110,000 - 150,000; Full time

Job summary

Snowflake is hiring a Post-Doctoral Researcher for the AI Research team. This 24-month fixed-term role focuses on applying machine learning to medicine, finance, and law, with opportunities to publish high-quality work and collaborate across researchers, scientists, and engineers.

The ideal candidate has a PhD (or expected completion) in a STEM field, strong Python and DL framework experience, and a track record of publications or internships in top AI venues.

Qualifications

• PhD (or expected) in Computer Science, Statistics, Mathematics or related STEM field, or equivalent practical experience.
• Research experience in machine learning or AI techniques with publications or internship experience.
• Proficiency in Python and deep learning frameworks (PyTorch, JAX, TensorFlow) or equivalent.
• At least one publication submission in top AI or applied domain venues (NeurIPS, ICML, ICLR, AAAI, ACL).
• Ability to work independently and collaborate across research teams and domain experts.

Responsibilities

• Collaborate with research mentors to formulate ML research projects.
• Conduct independent and collaborative research and publish in top venues.
• Design and run large-scale experiments using modern DL frameworks; write reusable code.
• Develop models bridging AI capabilities with real-world constraints.
• Engage with domain experts and applied engineering for practical impact.
• Contribute to the research community via publications and open-source releases.

Skills

Python

Deep learning

Independent work

Collaborative research

Publications

Education

PhD in CS/Statistics/Math or related STEM

Equivalent practical experience

Job description

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 help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com