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1 час назад

Post-Doctoral Researcher (AI)

160 000 - 220 000$
Формат работы
onsite/hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

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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