Software Engineer Intern (AI/ML) | MS/PhD - Summer 2026

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a world-class organization with offices in more than a dozen countries and serving many more.

Expanding on Snowflake’s trust promise and with the explosion of language models, we will democratize the ability to easily glean insights from massive amounts of structured and unstructured data using AI and natural language, from running powerful batch analysis to accurately answering interactive questions about any type of data.

We’re looking for dedicated students who share our passion for groundbreaking technology and want to create a lasting future for Snowflake and you.

What We Offer:

• Paid, full-time internships in the heart of the software industry

• Post-internship career opportunities (full-time and/or additional internships)

• Exposure to a fast-paced, fun, and inclusive culture

• A chance to work with world-class experts on challenging projects

• Opportunity to provide meaningful contributions to a real system used by customers

• High level of access to supervisors (manager and mentor), detailed direction without micromanagement, feedback throughout your internship, and a final evaluation

• Stuff that matters: treated as a member of the Snowflake team, included in company meetings/activities, flexible hours, casual dress code, accommodations to work from home, swag, and much more

• Catered lunches, access to gaming consoles, recreational games, happy hours, company outings, and more

What We Expect:

• Must be actively enrolled in an accredited college/university program during the time of the internship

• Desired class level: Masters, or PhD

• Desired majors: Computer Science, Computer Engineering, Electrical Engineering, Physics, Math, or related field

• Recommended coursework: artificial intelligence, machine learning, deep learning, federated learning, efficient LLMs, information retrieval, predictive & generative modeling, natural language processing, differential privacy, cloud computing, distributed & operating systems

• Research or publications in AI, ML, NLP, or CV or major contributions to open source.

• When: Summer 2026

  • Eligible start date options: May 11, May 26, June 22

  • Eligible end date options: July 31, August 14, August 28, September 4

• Duration: 12-16 weeks recommended, more than 16 weeks also encouraged (12 month maximum)

• Excellent programming skills in python, Golang, and Java

• Preferred knowledge of Pytorch or CUDA.

• Experience with working as a part of a team

• Dedication and passion for technology

What You Will Learn/Gain:

• Engineering for Scale: Learn to build highly integrated, secure, and scalable products that enable end-to-end ML workflows

• Agentic Workflows: Gain experience with agentic testing, iteration, and managing complex workflows for SQL generation

• Evaluation & Trust: Understand how to build evaluation loops to measure the groundedness, reliability, and safety of AI-powered features

• Multimodal Data Processing: Learn how to apply AI operations natively to both structured and unstructured data within a cloud database

• High-Performance Research: Gain exposure to hardware performance optimization to achieve better LLM throughput

Possible Teams/Work Focus Areas:

• Applied AI: Building production-grade AI systems (agents, RAG pipelines, LLM integrations) and deploying them with strategic customers

• ML Platform: Developing infrastructure for feature stores, MLOps, and highly optimized runtimes for both structured and unstructured data

• LLM Products & Snowflake Intelligence: Creating AI systems that reason over governed data and shipping features like design prompts and agent workflows

• AI Migrations (Agents for Code): Building intelligent agents to a