Esa Graduate Trainee in Ai/machine Learning Software Engineering
il y a 9 heures
ESA Graduate Trainee in AI/Machine Learning Software Engineering
**Job Requisition ID**:20223
**Date Posted**:1 February 2026
**Closing Date**:28 February 2026 23:59 CET/CEST
**Publication**:External Only
**Type of Appointment**:ESA Graduate Trainee
**Directorate**:Resources and Services
**Workplace**:Paris, FR
**Grade Band**:F1 - F1
**Location**
- ESA Headquarters, Paris, France
**Our team and mission**
You will join the Data Management Unit within the IT Department at ESA Headquarters, Paris. We run the ESA Data and Apps Factory, the Agency's largest corporate data repository. By providing trusted, accessible data, we enable ESA to take decisions and improve processes based on knowledge rather than intuition.
**Field(s) of activity/research for the traineeship**-
Key responsibilities:
You will work with ESA's largest corporate data repository, which includes structured data (SQL databases) and unstructured data (documents).Building on this foundation, you will develop a wide range of AI models, such as anomaly detection, classification and regression, and natural language processing using LLMs.You will be involved end-to-end across the pipeline: data engineering, model development, testing and operations, and integration with existing corporate software.You will also communicate your results to senior management and present your work at internal and external conferences.**Technical competencies**
Knowledge of relevant technical/functional domainsRelevant experience gained during internships, project work and/or extracurricular or other activitiesGeneral knowledge of the space sector and relevant activitiesKnowledge of ESA and its programmes/projects**Behavioural competencies**
Result OrientationOperational EfficiencyFostering CooperationRelationship ManagementContinuous ImprovementForward ThinkingFor more information, please refer to the ESA Core Behavioural Competencies guidebook**Education**
You should have just completed, or be in the final year of your master’s degree in Computer Science or similar (Mathematics, Physics, Engineering, etc.).**Additional requirements**
You should have good interpersonal and communication skills and should be able to work in a multicultural environment, both independently and as part of a team. Previous experience of working in international teams can be considered an asset. Your motivation, overall professional perspective and career goals will also be explored during the later stages of the selection process.You should also have:
Knowledge of:
- Python
- Machine Learning Libraries (PyTorch, TensorFlow, scikit-learn or equivalent)
- Linux OS
- Git/GitHub
Willingness to learn:
- LLM tools, (vLLM, LangChain, etc.)
- CI/CD pipelines
- Docker/Singularity
**Diversity, Equity and Inclusiveness**Important Information and Disclaimer**
- The information published on ESA’s careers website regarding working conditions is correct at the time of publication. It is not intended to be exhaustive and may not address all questions you would have.
**Nationality and Languages**- The working languages of the Agency are English and French. A good knowledge of one of these is required. Knowledge of another Member State language would be an asset.
- Member States, Associate Members or Cooperating States.
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