{"id":3266441,"url":"https://alion.io/job/quobly-generative-ai-internship-for-scientific-data","title":"Generative AI Internship for Scientific Data","company":{"id":1789247,"name":"Quobly","domain":"quobly.io","url":"https://alion.io/company/quobly","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":null},"role":"Early Careers","role_family":"Early Careers","seniority":"intern","employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Grenoble, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":21000,"max_usd":40000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":829},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"GDPR","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Synthetic Data","optional":false}],"status":"live","first_seen_at":"2026-10-26T09:30:52Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-09T10:03:46Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"What awaits you every day at Quobly\nBased in the heart of the French Alps, Quobly builds on more than 15 years of research in quantum computing.\nWe are developing a silicon spin-qubit quantum computer, with the ambition of making this technology practical, scalable and capable of addressing real-world challenges.\nQuobly offers you the opportunity to help shape the future of quantum computing: join our Software team and explore the potential of generative AI applied to real scientific data.\nThe internship\nAs part of the Software team, you will spend six months working with our physicists and engineers on a topic at the crossroads of generative AI, computer vision and quantum physics.\nYour goal will be to develop methods that generate realistic, physically relevant scientific data and help bridge the gap between simulations and experimental measurements\nTechnical Challenges\nStudy physics-based simulators and analyse the differences between simulated and experimental data.\nExplore relevant approaches to image generation, synthetic data and domain adaptation.\nDevelop Python pipelines for data preparation, model training and evaluation.\nTrain and compare different models on GPUs, using PyTorch or an equivalent framework.\nWork with physicists and engineers to assess the realism and scientific consistency of the results.\nIntegrate the selected prototype into existing analysis tools and document the results, limitations and next steps.\nYou Are Special Because\nYou are in the final year of an engineering degree or completing a Master’s degree in AI, data science, computer science, computer vision, physics or a related field.\nYou are proficient in Python and have a solid foundation in machine learning or deep learning.\nYou care about code quality and can produce code that is readable, structured, maintainable and reproducible.\nYou are curious, rigorous and comfortable analysing complex problems and testing different approaches.\nExperience with PyTorch, computer vision, generative models, synthetic data or Git would be an advantage.\nPrior knowledge of quantum computing is not required: your ability to learn and your drive to build will make the difference.\nApply now\nWorking at Quobly also means\nWorking in Grenoble, home to some of the fastest-moving tech and industrial companies around, and a great base camp for a wide range of activities from outdoor and mountain sports to arts and culture.\nGrenoble offers an affordable lifestyle, ensuring you can plan for a comfortable future while advancing your career with us.\nThe opportunity to develop in-demand skills alongside the best researchers in their fields.\nA collaborative work environment and a company culture where trust is paramount and where individual contributions are recognized.\nPresenting at international conferences to share our latest results.\nWork-life balance, with a standard package of 213 workdays per year.\nWork from home up to four days per week, depending on the position.\nEmployer contribution to public transportation (75% covered) passes and human-powered mobility solutions.\nDiscover Quobly\nApply now\nExcited about this opportunity? Apply now and join Quobly's innovative team!\nThe collected data has no commercial purpose; it is used to contact you. We collect your personal data in compliance with applicable law: access our legal notices and GDPR. For any deletion requests, please contact us.\n\"],\"poste\":[0,\"Generative AI Internship for Scientific Data\"],\"data-astro-cid-ncxgimnq\":[0,true]}\" ssr client=\"load\" opts=\"{\"name\":\"FormFiles\",\"value\":true}\" await-children>\nRecruitment process\n1\nApplication\nSubmit your resume and cover letter through our online portal. Our team carefully reviews each application.\n2\nFirst contact\nInitial discussion with the recruitment team to present the company and the position (approximately 30 minutes, by phone or video call)\n3\nMeet the team\nInterview with the team manager (approximately 1 hour)\n4\nFinal interview\nInterview with the Head of the Department (approximately 1 hour)\n5\nA swift response\nYou will receive an offer in the shortest possible timeframe.\n6\nOnboarding\nWelcome to the team! We're thrilled to have you join us on this exciting journey. 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