Fullstack Jobs

Software Engineer Intern (AI/ML) - 2026

🕒 +30 days ago

📍🇵🇱 Warsaw🇺🇸 United States🏢 On Site🏠 Remote🎓 Internship🌱 Entry-Level🗄️ Backend Engineer
PythonGoJavaPyTorchTensorFlowSparkDistributed SystemCI/CD

📋 Description

  • 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.
  • 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.

🎯 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
  • Duration: Minimum 4 months (recommended 6 months, up to 12 months supported)

🎁 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 with regular check-ins, structured feedback, and a final evaluation.
  • Integration as a full-fledged teammate on the Snowflake AI R&D Team and participation in collaborative projects.
  • Post-internship career opportunities including potential full-time roles or additional internships.
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