Software Engineer Intern (Ai/Ml) - 2026
SnowflakeAt 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.
We’re at the forefront of the AI revolution, building the world’s leading data and applications platform. At Snowflake, our "get it done" culture empowers everyone to innovate, create impactful work, and thrive in a highly collaborative environment.
We are looking for a talented and motivated Software Engineering Intern to join our AI-focused R&D team. In this role, you will contribute to cutting-edge AI-powered products, such as Snowflake Intelligence, which helps business users extract insights from large-scale data. Your work will be directly integrated into the Snowflake platform, driving AI innovation in data applications.
WHAT WE OFFER:
Paid, full-time internship within a dynamic AI-driven R&D team
Collaboration with world-class experts on groundbreaking AI/ML research projects
Direct mentorship and structured feedback, including regular check-ins and a final evaluation
Integration as a full-fledged teammate of the Snowflake AI R&D Team
Post-internship career opportunities (full-time and/or additional internships)
WHAT WE EXPECT:
Must be actively enrolled in an accredited college/university program during the time of the internship
Strong programming skills in at least one of: Python, Go, or Java
Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and data processing systems (e.g., Spark, Snowpark).
Understanding of distributed systems, model serving, or inference infrastructure.
Proven ability to write clean, efficient, and scalable code.
Prior exposure to the software development lifecycle, with a commitment to applying best practices
Ability to work independently while effectively collaborating within a team
Strong communication skills to present insights and recommendations to both technical and non-technical audiences
Duration: Minimum 4 months (recommended 6 months, up to 12 months supported)
WHAT YOU WILL LEARN/GAIN:
Design, implement, and maintain AI-powered systems and infrastructure for large-scale data processing and inference.
Collaborate with AI researchers and product teams to bring novel ML methods into production.
Develop robust, scalable, and efficient ML pipelines, from model training to deployment.
Optimize model serving, latency, and cost efficiency in distributed environments.
Contribute to high-quality, maintainable codebases, including testing, documentation, and CI/CD.
Participate in code reviews and cross-team design discussions to ensure best engineering practices.
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