Agentic AI R&D Internship - Fast-Track to Full-Time

Botresources

Paris

Sur place

EUR 16 740 - 27 900

Plein temps

14 jours+

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Avantages offerts par ce poste

Direct path to full-time employment (CDI)
Work on real research problems
Direct mentorship from R&D Director
Mac + equipment provided
Healthy startup atmosphere

Résumé du poste

Botresources is offering a 6-month internship in R&D for candidates ready for full-time employment shortly after. You will work closely with the R&D Director on applied research problems, focusing on agentic systems. This role includes designing benchmarks, testing architectures, and understanding explainability.

Ideal candidates will have a Master's level background in mathematics, computer science, or engineering and a strong desire to learn. Benefits include mentorship from the R&D Director and the potential for full-time employment.

Qualifications

  • Master's level (final year) in mathematics, computer science, or engineering school.
  • Understanding of generative AI fundamentals and LLMs (attention, transformers, context).
  • Strong desire to learn and grow.
  • Ability to receive feedback and question your own assumptions.
  • Scientific rigor in experimentation and documentation.

Responsabilités

  • Design and execute benchmarks to evaluate agentic system performance.
  • Test and compare new agentic architectures.
  • Work on explainability: understand and document how agents make decisions.
  • Contribute to R&D phases on client engagements.

Connaissances

Generative AI fundamentals
Mathematics
Computer Science
Scientific rigor

Formation

Master's level in mathematics, computer science, or engineering

Outils

Git

Description du poste

Botresources is offering a 6-month internship in R&D for candidates ready for full-time employment shortly after. You will work closely with the R&D Director on applied research problems, focusing on agentic systems. This role includes designing benchmarks, testing architectures, and understanding explainability.

Ideal candidates will have a Master's level background in mathematics, computer science, or engineering and a strong desire to learn. Benefits include mentorship from the R&D Director and the potential for full-time employment.

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