21 hours ago
Warsaw, PolandIntern
Responsibilities
- Build and iterate on AI pipelines, agents, and data applications for customer or product engagements.
- Translate 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 practices, safety guardrails, monitoring, and human-review workflows.
- Write clean, tested Python and SQL while collaborating with customer data science and engineering teams.
- Participate in design reviews, code reviews, debugging, documentation, and other software development activities.
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.
- 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.
- Preferred qualifications include projects 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 AI evaluation datasets, test suites, benchmarks, or observability; and prior internship, research, open-source, or personal software engineering experience.
Benefits
- Paid, full-time internship with a minimum duration of four months; six months is recommended and up to twelve months is supported.
- Mentorship, regular feedback, and support from experienced AI engineers and researchers.
- Hands-on experience with Snowflake Cortex, Snowpark, Python, SQL, and modern AI development tools.
- Exposure to the full engineering lifecycle, including design, implementation, evaluation, testing, deployment, and monitoring.
- Opportunities to present work, collaborate with Product and Engineering, and be considered for future full-time or internship roles.
- Location: Warsaw, Poland; working arrangement: full-time.
Tech Stack
Categories
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.