AI Reasearch Engineer (intern)

About your role

We are expanding our AI/ML team to push the boundaries of what’s possible in knowledge-driven presentation tools. We’ve already laid the groundwork with a powerful AI-assisted editor and are now looking for a passionate ML engineer (intern) to join us and help shape the core intelligence of our product.

Summary

  • Design, prototype, and evaluate models that enhance how people create and structure ideas
  • Work on natural language tasks such as structured-output generation, summarization, or semantic search
  • Collaborate closely with the product and engineering teams to bring research into production

Duration: ~6 months. We will prioritize candidates who can join us full time after a successful internship.

Location: Toulouse, France. We love team work in the office (but flexible day-to-day).

About you

  • Strong background in machine learning or natural language processing
  • Solid Python programming skills, ideally with some exposure to ML libraries (PyTorch, Hugging Face, etc.)
  • Curiosity for language models, information retrieval, or knowledge graph systems
  • Low-ego, eager to learn, team-oriented, and autonomous

Ideally you have experience in or will to learn:

  • Embedding-based search or retrieval augmented generation (RAG)
  • Working with large language models (e.g., OpenAI, Claude, open-source LLMs)
  • Text summarization, document classification, or chunking strategies
  • Evaluating model performance and tuning for real-world use cases

Application

Send at contact@databold.co your:

  • CV
  • GitHub projects or research work (if any)
  • Small paragraph about you and your motivations

Process

  • 30 min introduction interview
  • 1h technical interview focused on ML thinking and applied reasoning
  • 30 min decision & feedback

Join a world-class team of graduates from Europe's top engineering schools, bringing together diverse and complementary backgrounds.

Be part of the revolution that is transforming how the world communicates in business—with intelligence at its core.