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Internship - Technical Research Intern in GenAI - AI Innovation Center Of Excellence (f/m/d)

Amsterdam, North Holland, Netherlands

Join our Artificial Intelligence Center of Excellence (CoE) to explore and develop the future of generative AI!

Our Center of Excellence, dedicated to AI research and development, is offering internship opportunities in data science to contribute to the development of a Contextual GenAI Model for the search engine of our Decathlon e-commerce sites. An exciting project that enhances the e-commerce experience for our customers, directly impacting their satisfaction!

As a Technical Research Intern in GenAI, you will work on LLMs to explore and develop fundamental techniques for understanding long contexts.

Your mission:

  • Explore how to extend fixed-context LLMs to infinite-context LLMs.
  • Evaluate performance using standard metrics (needle in haystack, multihop reasoning path) and develop custom metrics tailored to Decathlon’s needs.
  • Conduct research on topics such as LLM context extension.

Your technical skills:

  • Understanding of LLM training with different loss functions (Cross-Entropy, PPO, DPO, GRPO).
  • Knowledge of various architectures, tokenizers, and chat templates.
  • Strong proficiency in Python programming.
  • Familiarity with deep learning frameworks like PyTorch and associated packages.
  • Ability to read and understand research papers.
  • A research background is preferred (Master’s in AI, PhD).
  • You must communicate fluently and effectively in English on all work-related topics, especially when sharing research results.
  • Proficiency in French is a must-have, as you will contribute to the creation of multilingual models for the French and international markets.
     

What you bring:

  • Passion for Generative AI and LLMs.
  • Curiosity and innovative mindset.
  • Ability to work independently and as part of a team.
  • Rigorous and well-organized work ethic.

What we offer you:

💻 Equipment suited to your tasks (Mac, Windows, Chromebooks).
🌍 Integration into a local team and collaboration with a global network.
🚀 Skill development & mentorship (varied projects, languages, technologies, certifications, events).
🎓 Internal & external training opportunities.
💰 Internship compensation.

Ready to shape the future of Generative AI? Apply now! 🚀

 

DECATHLON DIGITAL CONTEXT 

What if technology allowed us to push the boundaries and take sports experiences to new levels? That's exactly our goal at Decathlon Digital! We are a team of 5,000+ experts in software engineering, product management, data, cloud, and cybersecurity, distributed across Paris, Lille, and Amsterdam. Together, we are creating the largest digital sports platform, leveraging tech innovation from design to value chain optimization, connected experiences and product second life.


Changing the game for good. We are in this for the love of sports. And like everything we love, we want it to last. That’s why we are embarking on a journey to create a more sustainable tech model, reducing our direct environmental impact while maintaining a safe, diverse, and inclusive space for all our people to learn and thrive together. Team up with us to design the digital future of sports.

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As part of our diversity and non-discrimination policy, Decathlon Digital wants to ensure that gender, disability, or age of our candidates are not a factor in our decision. If you wish, we suggest that you provide us with this information. This data will be anonymized and used in the macro analysis of the diversity of applications received. This information will be kept separate from your application and will have no effect on its processing.

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Dans le cadre de sa politique de diversité et de non discrimination, Decathlon Digital souhaite s'assurer que le genre, le handicap, ou l'âge de nos candidat·e·s ne sont pas des facteurs de décision. Si tu le souhaites, nous te proposons de nous indiquer ces informations. Ces données seront anonymisées et utilisées dans l'analyse macro de la diversité des candidatures reçues. Ces informations seront séparées de ta candidature et n'auront donc aucun effet sur le traitement de celle-ci.

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