{"id":1857406,"url":"https://alion.io/job/sonia-machine-learning-student-all-2","title":"Machine Learning Student (all)","company":{"id":3786871,"name":"Sonia","domain":"sonia.so","url":"https://alion.io/company/sonia-3","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Personio","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Early Careers","role_family":"Early Careers","seniority":null,"employment_type":"internship","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Luxembourg City, Luxembourg"],"countries":["LU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Speech Recognition","optional":false}],"status":"live","first_seen_at":"2026-03-27T14:40:39Z","employer_posted_date":"2026-03-27","last_verified_at":"2026-10-19T02:56:32Z","board_verified":true,"closed_at":null,"days_open":205,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":204},"description":"Let me introduce...\nWith Sonia, doctors are successful doctors. We build and deploy AI-enhanced solutions that make doctors’ lives easier, patients’ care better, and healthcare systems more efficient. If you’re curious, detail-oriented, and eager to learn how applied machine learning works in real products, join us.\nWe’re looking for a Working Student / Intern (all) to support our Machine Learning team in the area of Automatic Speech Recognition (ASR) for dental and medical applications. This is a hands-on role with a strong focus on data annotation, data quality, and understanding how ASR systems are evaluated and improved in production environments.\nThis role can be performed in a hybrid setup from our offices in Luxembourg or Berlin.\nHours: Flexible (10-20 hours per week)\nDuration: 6 months (with possible extension)\nThis is what you’ll own\nData Collection: Record, annotate, and review speech and transcript data for medical and dental use cases.\nAnnotation Quality: Correct transcripts, mark domain-specific terminology, and ensure high annotation accuracy.\nQuality Control: Apply structured quality checks to annotated datasets.\nModel Evaluation: Support the evaluation of ASR models and their outputs.\nML Exposure: Learn how ASR and ML systems are validated, measured, and improved in real projects.\nAutomation: Help automate repetitive annotation and validation tasks.\nCollaboration: Work closely with a production-oriented Machine Learning team.\nProduct Impact: Contribute directly to improving a live healthcare product.\nYou’ll thrive in this role if you bring\nMust HavesStudent Status: Enrolled Master’s student in Computer Science, Engineering, Linguistics, or a related field.\nLanguage Skills: Full German proficiency, spoken and written.\nAttention to Detail: High level of accuracy and care when working with data.\nData Handling: Comfortable working with structured datasets.\nProgramming: Experience with Python.\nML Foundations: Experience with machine learning or deep learning concepts.\nNice to HaveMedical Domain: Familiarity with medical or dental terminology.\nAnnotation Experience: Experience with data annotation or annotation tools.\nASR Knowledge: Exposure to speech recognition or audio data processing.\n Automation Mindset: Interest in scripting or automating repetitive tasks.\nWhy you’ll love working with us\nHands-on experience with production-grade ASR and machine learning systems.\nA collaborative team that values curiosity, learning, and pragmatic problem-solving.\nFlexible working arrangements (remote or hybrid).\nFair compensation for a working student / paid internship role.\nClose collaboration with experienced Machine Learning engineers.\nThe chance to work on products that directly shape the future of healthcare.\nReady to apply?\nIf you’re curious about applied machine learning, enjoy working with data, and want to gain real-world experience in medical AI, we’d love to hear from you!\nI’m Margarita and will be guiding you through the application process.","description_format":"text","description_chars":3005,"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":"German","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible 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