{"id":705937,"url":"https://alion.io/job/raidium-senior-full-stack-software-engineer","title":"Senior Full-stack Software Engineer","company":{"id":686736,"name":"Raidium","domain":"raidium.eu","url":"https://alion.io/company/raidium","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":51000,"max_usd":86000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":182},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CUDA","optional":false},{"name":"Datadog","optional":false},{"name":"DICOM","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Ray","optional":false},{"name":"React.js","optional":false}],"status":"live","first_seen_at":"2026-04-09T15:04:52Z","employer_posted_date":"2026-04-09","last_verified_at":"2026-10-28T15:56:40Z","board_verified":true,"closed_at":null,"days_open":202,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":201},"description":"About the company\nRaidium is building a foundation Model for precision medicine in radiology. Our first release, Curia is already state of the art. Our model is embedded in a new type of solution for the radiologist that enables a revolutionary AI-native workflow. Thanks to a 16M€ seed round raised in November 2024, Raidium is expanding its team.\nThe team\nThe founders of Raidium are experts in radiology and machine learning from Owkin, bringing together extensive experience from both fields.\n Paul Herent, CEO, is a radiologist and former interne des hôpitaux de Paris, with a Cogmaster (ENS) and PSL background, and has published pioneering research on deep learning in radiology. \nPierre Manceron, CTO, is a Centrale Paris engineer specialized in Applied Mathematics and Machine Learning, who previously led machine learning projects at Owkin. \n Sebastian Schwarz, COO, holds a double degree in X-HEC Data Science & Business, who previously worked as a Strategy & Operations Director at Owkin, where he developed Owkin’s strategic vision and operational agency.\nOur team brings together strong academic foundations (Polytechnique, Ponts, MVA) and deep medical, AI, and business experience from leading medical and tech companies such as Owkin, Cardiologs, Datadog, and Meta, all united by a mission to revolutionize radiology through cutting-edge technology.\nThe role\nAs a Full-stack Software engineer at Raidium, play a pivotal role in developing the Raidium product and integrating Machine Learning models.\nDesign, implement, and maintain both front-end and back-end components of Raidium product, involving serving ML models and manipulating radiological images\n\nCollaborate with ML Engineers to integrate advanced ML/Deep Learning models into the platform, ensuring the system is highly accurate and efficient.\n\nBuild the infrastructure and pipelines to support rapid growth in users and data volume without compromising performance.\n\nEnforce the best practices to ensure code quality and system soundness: automatic testing, linting, typing…\n\nYou will work with the R&D team, composed of Software engineers and ML Engineers and you will be managed by Alexandre Blondin, our Lead Software Engineer.\nQualification\nMaster’s degree in Computer Science, Engineering, or a related field.\nProficient in full-stack development, with experience in modern programming languages (e.g., Python, JavaScript), frameworks (e.g., FastAPI, React) and databases systems.\nWillingness to work in the healthcare industry\nAuthorization to work in France\nFluency in English, with excellent communication and teamwork skills\nWilling to come to the office (2 days remote policy)\nPluses\nExperience in an agile work environment\nKnowledge of machine learning concepts and experience integrating ML models\nExperience with containerization and orchestration tools such as Docker and Kubernetes\nExperience with cloud providers (GCP, AWS, Azure)\nKnowledge of model serving technologies (ex: ray, CUDA)) and parallelization on GPU clusters\nExperience with Radiological images (DICOM, nifti)\nWhy join us\nHave a real and positive impact on people's lives\nApply and improve the latest Deep Learning technologies to build an inspiring product\nBe in contact with radiologists in our partner center\nWork with a team of internationally recognized experts\nWork with a diverse team of engineers and medical doctors\nCompetitive salary\nAccess to premium computing hardware","description_format":"text","description_chars":3440,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Medical Imaging Systems","Medical AI"],"lifecycle":[{"event":"open","at":"2026-09-11T03:56:50Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long 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