ESA Graduate Trainee in AI/Machine Learning Software Engineering

Employee

Software Development

53 000 € to 62 000 € / year

!!! PLEASE EXCLUSIVELY APPLY VIA THE ESA CAREERS WEBSITE !!!

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.

We are an experienced team that delivers end-to-end, combining infrastructure, data engineering, data science, and operations. To generate insight and digitalise business processes, we apply AI/ML to time-series analysis, natural language processing, and more. We own and operate the entire technology stack for Machine Learning Operations. This ensures that the models we build translate into secure, reliable, and actionable outcomes across the Agency.

Tasks

Field(s) of activity/research for the traineeship

You as an AI/ML Software Engineer will develop AI models and integrate them into software applications to improve the Agency's business processes.

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.

Requirements

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: