Applied AI Intern - Warsaw

Snowflake
Warsaw
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningSkills: ["Curiosity","Low-ego collaboration","Experimental mindset","Independent work","Technical communication"]

Build and iterate on AI pipelines, agents, and data applications for real customer or product use cases. Work with experienced AI engineers and researchers on production-oriented systems including AI agents, retrieval-augmented generation (RAG) pipelines, and LLM integrations. Contribute to evaluation frameworks, test datasets, observability, and experiments, and help productionize solutions with reliability, safety guardrails, monitoring, and human-review workflows using Python and SQL.

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FursaFursa
Snowflake
Snowflake
2 days ago

Applied AI Intern - Warsaw

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Build and iterate on AI pipelines, agents, and data applications for real customer or product use cases. Work with experienced AI engineers and researchers on production-oriented systems including AI agents, retrieval-augmented generation (RAG) pipelines, and LLM integrations. Contribute to evaluation frameworks, test datasets, observability, and experiments, and help productionize solutions with reliability, safety guardrails, monitoring, and human-review workflows using Python and SQL.
Location: Warsaw
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Build and iterate on AI pipelines, agents, and data applications for team-led customer or product engagements.
  • •Turn business goals into engineering tasks, prototypes, and measurable outcomes with guidance from senior engineers.
  • •Contribute to evaluation frameworks, test datasets, observability, and experiments that improve AI quality.
  • •Help productionize solutions with reliability, safety guardrails, monitoring, and human-review workflows.
  • •Write clean, tested Python and SQL and participate in design reviews, code reviews, debugging, and documentation.

Key Requirements

  • •Currently pursuing or recently completed (within the last 12 months) a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • •Strong programming skills in Python.
  • •Interest in ML, LLMs, generative AI, RAG, AI agents, or data-intensive applications.
  • •Familiarity with version control, testing, debugging, and code reviews.
  • •Ability to work independently on well-scoped tasks and communicate technical ideas clearly.
Experience:Open sourceResearchMachine learningAI
Education:
Skills:CuriosityLow-ego collaborationExperimental mindsetIndependent workTechnical communication
Tech Stack:PythonSQLSnowflake CortexSnowparkRAGLLM integrationsAI agentsVersion controlTestingDebuggingObservabilityMonitoringStreamlitSparkAWSAzureGCP

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