Requirements

Must be actively enrolled in an accredited college/university program during 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'll Be Doing

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

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)