Snowflake
Software Engineer Intern AI/ML - Warsaw (2027)
PL-Warsaw-Lixa C. Posted a month ago
The role
You will contribute to cutting-edge AI-powered products and drive AI innovation in data applications. You will design, implement, and maintain AI-powered systems and infrastructure for large-scale data processing and inference.
What you will do
- 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
Required qualifications
- 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
- Proven exposure to the software development lifecycle
- 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
Benefits
- Paid, full-time internship
- 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)
About the company
Snowflake is building the world's leading data and applications platform. The company has a get it done culture that empowers innovation and collaboration.