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

Responsibilities

• ▹Collaborate with research mentors to formulate ML research projects focused on medicine, finance, or law
• ▹Conduct independent and collaborative research, publishing at top AI and domain-applied venues
• ▹Design and execute large-scale experiments with modern deep learning frameworks, writing reusable code
• ▹Develop models and systems bridging AI capabilities with real-world, regulated-domain requirements
• ▹Engage with domain experts and applied engineering to ground research in practical constraints
• ▹Contribute to the research community via publications, open-source releases, and academic/industry collaboration

Requirements

• ▹PhD (or expected completion by start date) in Computer Science, Statistics, Mathematics, or related STEM field, or equivalent experience
• ▹Research experience in machine learning/AI (open-source projects, lab experience, research internships, or publications)
• ▹Proficiency in Python and experience training deep learning models with PyTorch, JAX, TensorFlow, or equivalent
• ▹One or more publication submissions at top AI or applied-domain venues (NeurIPS, ICML, ICLR, AAAI, ACL, or equivalent)
• ▹Ability to work independently and collaborate across research teams and domain experts

Nice to have

• ▹Research background at the intersection of AI and medicine (clinical NLP, medical imaging, drug discovery), finance (quantitative modeling, risk, forecasting), or law (legal NLP, contract analysis, 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, regulatory constraints)
• ▹Publications at domain-applied AI venues (CHIL, ML4H, FinNLP, NLLP)
• ▹Experience with retrieval-augmented generation (RAG), knowledge graphs, or structured reasoning over domain-specific data

Soft skills

About the company

Snowflake is powering the era of the agentic enterprise, building AI-native tools and a Data Cloud used across industries.