{"id":174342,"url":"https://alion.io/job/thales-group-artificial-intelligence-space-engineer","title":"Artificial Intelligence Space Engineer","company":{"id":143,"name":"Thales Group","domain":"thalesgroup.com","url":"https://alion.io/company/thales","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":78,"open_postings":218,"ghost_share":0.018,"stale_share":0.826,"repost_share":0.018,"time_to_fill_p50_days":48,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Rome, Italy"],"countries":["IT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":true},{"name":"Java","optional":true},{"name":"Machine Learning","optional":true},{"name":"MATLAB","optional":true},{"name":"Multimodal AI","optional":true},{"name":"NLP","optional":true},{"name":"NumPy","optional":true},{"name":"Python","optional":true},{"name":"Room","optional":true},{"name":"Scikit-learn","optional":true},{"name":"SciPy","optional":true},{"name":"Simulink","optional":true}],"status":"live","first_seen_at":"2026-06-03T00:00:00Z","employer_posted_date":"2026-06-03","last_verified_at":"2026-10-24T17:33:25Z","board_verified":true,"closed_at":null,"days_open":144,"trust":{"level":"stale","repost_count":1,"flags":["stale"],"days_open":144},"description":"A Joint Venture between Thales (67%) and Leonardo (33%), Thales Alenia Space 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. Thanks to our diversity of skills, talents and cultures, our customers (governments, institutions, space agencies, telecommunications operators), therefore have Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate.We are looking for an Artificial Intelligence Engineering\nCANDIDATES THAT WOULD IMPRESS US:\nYou graduated from an Engineering School with a master’s degree - a PhD is a plus\nYour level of experience ranges from junior to advance: you are a student OR/AND you have already occupied one or more positions among the following: Algorithm or Software Engineer, Artificial Intelligence Engineer\nYou are curious and willing to stay abreast of the latest trends (technical, philosophical, ethical by design)\nYou enjoy thinking \"outside the box\" and use your creativity to address complex challenges\nYou are recognised as a team player and promote collaborative work\nYou are user centric and want to design components accordingly\nCOMPETENCIES:\nYou have in-depth knowledge in mathematics, algorithms, experiment plan, continuous iterations and Agility\nYou are proficient in one of the following Artificial Intelligence Approches:\nData driven AI, Symbolic AI, Hybrid AI on the Solution\nSymbolic Artificial Intelligence and reasoning\nHuman/machine dialog\nSystems Analysis\nYou understand the norms, laws and standards\nYou have knowledge of cybersecurity\nYou can confidently discuss with people from different jobs and background\nYou master foundational concepts in mathematics/ statistics science and their application to deploy them on Solution studies: statistical modelling, linear algebra, optimisation, machine learning Mathematics and Statistics\nNICE TO HAVE:\nWorking heritage on major satellite Earth Observation and Navigation systems\n\nSimulation by tool such as Matlab & Simulink\n\nadopting modern Agile and DevOps processes\n\nKnowledge of Data analysis and big data technologies\n\nKnowledge of Cloud technologies and architectures\n\nKnowledge of Edgetechnologies\n\nKnowledge of object programming in particular Python (Pyorch) , Java, C ++ and relevant Data Science packages (such as numpy, scipy, scikit-learn, pandas...);\n\nGood knowledge of operating systems;\n\nAs an Artificial Intelligence Engineering Role within Thales, you will:\nDesign and develop trustworthy artificial intelligence components for various domains\nIdentify the right cutting-edge Artificial Intelligence technologies (machine learning, symbolic AI, dialogue) and develop the Artificial Intelligence component accordingly\nWork on Natural Language Processing (NLP) and Understanding (NLU), and also to design multimodal approaches for Human-Machin Dialog including intention understanding, reasoning and hybrid AI\nWork on Machine Learning, causality vs. correlation, and/or other Data driven AI technics such as Random Forest, Evolutionary Algorithms, …\nWork on Symbolic AI, Ontology, Semantic Web, Knowledge based Reasoning, Meta-heuristics, Problem Solving, Operations Research, Decision Making and reasoning\nPropose and design approach alternatives\nIntegrate scientific method into engineering system methodology\nEnsure data knowledge and traceability\nEnsure continuous technowatch and be aware of the latest trends (technical, philosophical, ethical by design)\nDefine the system capabilities thanks to a functional, logical and value analysis, describing functions to be performed to meet the real needs of the user in the various scenarii and maximising product value for Customer\nYOUR CAREER AT THALES\nFuture opportunities will allow you to discover other domains or sites. You will be able to evolve and grow your competences in different areas:\nRoom and attention to personal development\nBuild your talents in another domain of Thales Group, discovering new products, new customers, new country or go to a more complex Solution\nChoose between a technical expertise or a leadership path\nBuild an international career within a leading Engineering Group\nPermanent\nExperience: 1-7 Years\nCCNL Met/Ind - B2 Category\n€ 35.884,96 - € 43.126,00\nPerformance Bonus (PDR): up to € 4.025\nAt Thales Alenia Space we provide CAREERS and not only jobs. 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 employees each year to develop their careers at home and abroad. Thales Alenia Space sees space as a new horizon, helping to build a better, more sustainable life on Earth #SpaceForLife. 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