Post-Doctoral AI Researcher – 2 year Fixed-Term

Snowflake

Post-Doctoral Researcher applying machine learning to real-world domains like medicine, finance, and law at Snowflake. Collaborate with researchers and publish high-quality work in AI.

Posted 7/23/2026full-timeBellevue • Washington • 🇺🇸 United StatesMid-LevelSenior💰 $160,000 - $220,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in machine learning and AI techniques, with a strong focus on applying these skills in high-stakes domains such as medicine, finance, or law. Proficient in Python and deep learning frameworks, with a proven track record of independent research and publication in top-tier venues.

Highest-signal resume keywords

PhD In Computer ScienceMachine Learning Research ExperienceProficiency In PythonDeep Learning Frameworks (PyTorch, JAX, TensorFlow)Scientific Publication Submissions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI TechniquesDeep LearningStatistical AnalysisModel DevelopmentExperiment DesignData AnalysisResearch MethodologyPublication WritingEvaluation Challenges

Soft Skills

CollaborationIndependent ResearchEffective CommunicationTeam EngagementProblem Solving

Tools & Technologies

PyTorchJAXTensorFlowOpen-Source ProjectsKnowledge GraphsRetrieval-Augmented Generation

Industry Keywords

AI Applied To MedicineAI Applied To FinanceAI Applied To LawClinical NLPMedical ImagingQuantitative ModelingRisk ForecastingLegal NLPContract AnalysisRegulatory Constraints

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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