At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake is building the data and applications platform for the AI era. We are looking for an Applied AI Intern to join our engineering team in Warsaw and help build, evaluate, and deploy AI applications for real customer use cases.
You will work with experienced AI engineers and researchers on production-oriented systems such as AI agents, retrieval-augmented generation (RAG) pipelines, LLM integrations, and data applications. You will gain experience taking a solution from prototype to production and contributing to reusable engineering assets and platform improvements.
What We Offer
Paid, full-time internship on the Applied AI engineering team
Mentorship, regular feedback, and support from experienced AI engineers and researchers
Hands-on work with Snowflake Cortex, Snowpark, Python, SQL, and modern AI development tools
Exposure to the engineering lifecycle, including design, implementation, evaluation, testing, deployment, and monitoring
Opportunities to present your work, collaborate with Product and Engineering, and be considered for future full-time or internship roles
What You Will Do
Build and iterate on AI pipelines, agents, and data applications within 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 through reliability, safety guardrails, monitoring, and human-review workflows
Collaborate with customer data science and engineering teams while writing clean, tested Python and SQL
Participate in design reviews, code reviews, debugging, documentation, and other software development activities
What We Expect
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
Interest in ML, LLMs, generative AI, RAG, AI agents, or data-intensive applications
Strong programming skills in Python
Familiarity with version control, testing, debugging, and code reviews
Ability to work independently on well-scoped tasks, collaborate effectively, and communicate technical ideas clearly
Nice to Have
A project involving LLMs, RAG, agents, machine learning, or data systems
Experience with Snowflake, Snowpark, Cortex, Streamlit, Spark, or AWS, Azure, or GCP
Understanding of distributed systems, model serving, or inference infrastructure
Experience creating evaluation datasets, test suites, benchmarks, or observability for AI systems
Previous internship, research, open-source, or personal software engineering experience
What You Will Learn
How to build and deploy production-oriented AI applications, including agents, RAG systems, and LLM integrations
How to define quality metrics, evaluate AI behavior, and use structured testing to identify failure modes and prevent regressions
How to apply reliability, safety, monitoring, observability, and human-in-the-loop practices
How to scope ambiguous problems, make engineering trade-offs, collaborate with customers, and present technical work
Internship Details
Location: Warsaw, Poland
Duration: Minimum 4 months; 6 months recommended; up to 12 months supported
Working arrangement: Full-time
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
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
Skills Required
- 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
- Interest in machine learning, LLMs, generative AI, RAG, AI agents, or data-intensive applications
- Strong programming skills in Python
- Familiarity with version control, testing, debugging, and code reviews
- Ability to work independently on well-scoped tasks, collaborate effectively, and communicate technical ideas clearly
- Project involving LLMs, RAG, agents, machine learning, or data systems
- Experience with Snowflake, Snowpark, Cortex, Streamlit, Spark, AWS, Azure, or GCP
- Understanding of distributed systems, model serving, or inference infrastructure
- Experience creating evaluation datasets, test suites, benchmarks, or observability for AI systems
- Previous internship, research, open-source, or personal software engineering experience
Snowflake Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.
-
Fair & Transparent Compensation — Pay is often characterized as top‑of‑market across multiple roles. The company also points to a Fair Pay Workplace certification, signaling externally reviewed pay‑equity practices.
-
Equity Value & Accessibility — Equity is a meaningful part of total compensation, with new‑hire grants, refresh potential, and a discounted ESPP with a favorable lookback. Feedback suggests this ownership component materially boosts perceived total rewards.
-
Leave & Time Off Breadth — Parental leave is described as up to 26 weeks paid in the U.S., paired with flexible or generous PTO and multiple leave types. Family‑building benefits and a dedicated parental‑leave hub further expand support.
Snowflake Insights
What We Do
Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.
Why Work With Us
Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.
Gallery
