Software Engineer Intern (AI/ML) - 2026

Requirements:

• 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

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

Perks and Benefits:

• 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)