Hybridization Engineer – Genetic Algorithms, LLMs
Thales
internship
Posted on:
Location Type: Hybrid
Location: Palaiseau • 🇫🇷 France
Visit company websiteJob Level
Entry Level
Tech Stack
Python
About the role
- Design an evolutionary exploration method guided by a language model (LLM)
- Use the LLM as a semantic variation operator (crossover, mutation)
- Automatically generate adversarial and diverse instances
- Test and train robust optimization methods within a rich, exploratory framework
Requirements
- Master's student (M2), engineering school or equivalent training
- Knowledge of: Python programming
- Knowledge of optimization (metaheuristics)
- Familiarity with generative AI (LLMs, prompt engineering)
- Interest in exploratory and interdisciplinary approaches
- English (B2–C1 level expected)
- Rigor, autonomy and team spirit
Benefits
- An inclusive and supportive environment
- A recognized societal and environmental commitment (Thales Solidarity, CAC 40 ESG index…)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Pythonoptimizationmetaheuristicsgenerative AIlanguage modelsemantic variationadversarial generationexploratory frameworkprompt engineering
Soft skills
rigorautonomyteam spiritinterdisciplinary approaches
Certifications
Master's degree