Software Engineer Intern

Dataiku provides an enterprise AI platform for building, deploying, orchestrating, and governing analytics, machine learning, generative AI, and AI agents. Its customers include large organizations across financial services, life sciences, manufacturing, retail, energy, logistics, technology, and the public sector.

Distributed
About Dataiku

Dataiku develops a unified enterprise AI platform that connects people, data, analytics, machine-learning models, large language models, and AI agents in a governed environment. Its offerings include AI-agent development and orchestration, centralized LLM management, AI governance, trusted analytics, machine-learning development and deployment, collaboration, monitoring, lineage, and risk controls. Dataiku serves enterprise business and technical teams, including organizations operating in complex and highly regulated industries.

View jobs by Dataiku

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will work alongside senior software engineers on a potential future product feature. With guidance and support, you will code, debug, optimize, and document your work while learning to deliver high-quality software. Your internship may involve backend or frontend technologies and a project in areas such as AI/ML, MLOps, data preparation, data visualization, or cloud platforms.

Responsibilities

  • Code, debug, optimize, and document product work with guidance from senior software engineers
  • Contribute to a potential future product feature
  • Deliver high-quality software work

Benefits

  • 50% reimbursement on the Navigo transport pass
  • Up to 5 paid leaves
  • Free breakfasts, snacks, and drinks in the office
  • Access to the office canteen

Hiring Process

Initial call with technical recruiting (30 min) and presentation of internship subjects; take-home technical assessment; discussion with the technical recruiter to select an internship topic (15–30 min); video call with the future manager (1h).