Principal / Staff Applied Research Scientist

Snowflake
Menlo Park
Workplace: OnsiteFull timeUSD 236,000 - 339,200 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsEducation: phdSkills: ["Experimental mindset","Collaboration","Technical leadership","Communication","Problem-solving"]

Apply formal methods, program analysis, automated reasoning, and AI techniques to real problems in a cloud data platform. Translate research into prototypes and shipped capabilities that improve correctness, reliability, velocity, and operational performance. Partner with engineering, product, and customers to identify high-leverage opportunities, influence roadmap decisions, and train teams. Maintain frontier expertise through publications, conferences, open-source work, and patent filings.

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Snowflake
Snowflake
2 months ago

Principal / Staff Applied Research Scientist

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Job Summary

Apply formal methods, program analysis, automated reasoning, and AI techniques to real problems in a cloud data platform. Translate research into prototypes and shipped capabilities that improve correctness, reliability, velocity, and operational performance. Partner with engineering, product, and customers to identify high-leverage opportunities, influence roadmap decisions, and train teams. Maintain frontier expertise through publications, conferences, open-source work, and patent filings.
Location: Menlo Park
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead research projects applying formal methods, program analysis, automated reasoning, and AI-driven techniques to real problems in a cloud data platform.
  • •Convert research ideas into prototypes and shipped capabilities that improve quality, velocity, reliability, and operational performance at scale.
  • •Partner with engineering leaders, product managers, and key customers to identify high-leverage opportunities and deliver outcomes.
  • •Advise on practical research directions and influence the engineering and product roadmap.
  • •Train and uplift engineering teams on new methods, scaling them across the organization, while maintaining expertise through publications, conferences, open-source, and patents.

Pay and Benefits

Salary: USD 236,000 - 339,200 annually

Key Requirements

  • •PhD (or equivalent research experience) in Computer Science or a closely related field.
  • •Depth across formal methods (e.g., model checking, theorem proving, SAT/SMT, program verification, type systems, or program analysis).
  • •Depth across distributed systems, including designing, reasoning about, or verifying large-scale concurrent/distributed systems.
  • •Strong software engineering fundamentals, able to turn research ideas into production-quality code with engineering teams.
  • •8+ years applying theoretical computer science to large-scale software systems, ideally cloud data platforms, distributed systems, or developer infrastructure.
Experience:8+ years
Education:PhD / Doctorate in Computer Science
Skills:Experimental mindsetCollaborationTechnical leadershipCommunicationProblem-solving
Tech Stack:AIMLLLMsCode generationAutomated reasoningFormal methodsModel checkingTheorem provingSATSMTProgram verificationType systemsProgram analysisDistributed systemsCloud data platformIcebergPolarisSnowparkDynamic TablesCross-region replication

Company Brief

Snowflake
Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Bozeman, United States
Founded: 2012
WebsiteLinkedIn