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Thales Alenia Space, a joint venture between Thales (67%) and Leonardo (33%), is a global space manufacturer delivering, for more than 40 years, high‑tech solutions for telecommunications, navigation, Earth Observation, environmental management, exploration, science and orbital infrastructures. Our diverse skills, talents and cultures enable us to connect, secure & defend, observe & protect, explore, travel & navigate the space.
Artificial Intelligence Engineering
We are looking for candidates who will help us develop trustworthy AI components within complex space systems, using cutting‑edge technologies such as machine learning, symbolic AI, dialogue systems and multimodal approaches.
CANDIDATES THAT WOULD IMPRESS US
PROFILE

You graduated from an engineering school with a master’s degree – a PhD is a plus.
Your level of experience ranges from junior to advanced; you may be a student or have already held positions such as Algorithm Engineer, Software Engineer, or Artificial Intelligence Engineer.
You are curious and stay abreast of the latest technical, philosophical and ethical trends.
You enjoy thinking “outside the box” and use creativity to address complex challenges.
You are recognised as a team player and promote collaborative work.
You are user‑centric and aim to design components accordingly.

COMPETENCIES

You have in‑depth knowledge in mathematics, algorithms, experiment planning, continuous iteration and agility.
You are proficient in one of the following AI approaches:
Data‑driven AI
Symbolic AI
Hybrid AI on the solution
Symbolic artificial intelligence and reasoning
Human/​machine dialogue
Systems analysis


You understand norms, laws and standards governing AI.
You possess knowledge of cybersecurity.
You can confidently discuss with people from diverse backgrounds.
You master foundational concepts in mathematics, statistics, science and their application to solutions: statistical modelling, linear algebra, optimisation, machine learning, mathematics and statistics.

NICE TO HAVE

Working heritage on major satellite Earth Observation and navigation systems
Simulation with tools such as Matlab and Simulink
Experience with modern Agile and DevOps processes
Knowledge of data analysis and big‑data technologies
Knowledge of cloud technologies and architectures
Knowledge of edge technologies
Proficiency in object‑oriented programming, particularly Python (PyTorch), Java, C++ and relevant data‑science packages (numpy, scipy, scikit‑learn, pandas, …)
Good knowledge of operating systems

KEY RESPONSIBILITIES

Design and develop trustworthy AI components for various domains.
Identify and apply cutting‑edge AI technologies (machine learning, symbolic AI, dialogue, multimodal approaches) to component design.
Work on Natural Language Processing (NLP) and Understanding (NLU) and design multimodal approaches for Human‑Machine dialogue, including intention understanding, reasoning and hybrid AI.
Apply machine learning, causality vs. correlation, and other data‑driven AI techniques such as Random Forest, evolutionary algorithms and more.
Invest in symbolic AI, ontology, semantic web, knowledge‑based reasoning, meta‑heuristics, problem solving, operations research, decision making and reasoning.
Propose and design approach alternatives.
Integrate scientific methods into engineering system methodology.
Ensure data knowledge and traceability.
Maintain continuous technowatch and stay aware of the latest trends (technical, philosophical, ethical by design).
Define system capabilities through functional, logical and value analysis, describing functions to meet real user needs and maximize product value for the customer.

Future opportunities will allow you to discover other domains or sites, evolve your competencies in new areas, and build an international career within a leading engineering group.
With Thales Alenia Space, employing around 8,900 employees in 10 countries with 17 sites in Europe and a plant in the US, our mobility policy enables you to develop your career at home and abroad. Great journeys start here – apply now!
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