Престижная исследовательская роль в топ-компании с фокусом на передовой AI. Опыт и бренд — огромные плюсы, но зарплата ниже рыночной, а контракт на 24 месяца означает отсутствие постоянного места.
Post-Doctoral Researcher (AI): Conducting fundamental and applied research at the intersection of machine learning and high-stakes domains like medicine, finance, and law with an accent on developing models that bridge AI capabilities with real-world application requirements. Focus on designing large-scale experiments, publishing high-quality research, and collaborating with domain experts to shape the future of agentic enterprise AI.
Location: Must be based in Bellevue, WA, USA (On-site/Hybrid)
Salary: $160,000 – $220,000
Company
Snowflake is a cloud-based data platform company empowering enterprises to achieve their full potential through innovation and impact.
What you will do
Formulate and execute research projects applying machine learning to medicine, finance, or law.
Conduct independent and collaborative research leading to publications in top-tier AI venues.
Design and execute large-scale experiments using modern deep learning frameworks.
Develop models that bridge AI capabilities with practical constraints in regulated domains.
Collaborate with research mentors, domain experts, and applied engineering teams.
Contribute to the research community through open-source releases and academic partnerships.
Requirements
PhD in Computer Science, Statistics, Mathematics, or related STEM field (or expected completion by start date).
Research experience in machine learning or AI techniques.
Proficiency in Python and experience with PyTorch, JAX, or TensorFlow.
At least one scientific publication in top AI or domain-applied research venues.
Ability to work independently and collaborate effectively across teams.
Must be authorized to work in the United States.
Nice to have
Experience fine-tuning or evaluating LLMs in applied domain settings.
Familiarity with evaluation challenges such as fairness, explainability, and robustness.
Experience with RAG, knowledge graphs, or structured reasoning.
Publications at domain-applied AI venues like CHIL, ML4H, or FinNLP.
Culture & Benefits
Collaborative environment focused on impact and innovation.
Opportunity to work at the frontier of AI research.
Access to high-quality research mentorship and industry-academic partnerships.
Fixed-term 24-month position designed for career development.
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