Description
At Snowflake, we are powering the era of the agentic enterprise.
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