Snowflake

3 weeks ago

Principal / Staff Applied Research Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

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

Website LinkedIn

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Snowflake

3 weeks ago

Principal / Staff Applied Research Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

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

Company Brief

Snowflake

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

Website LinkedIn