{"id":1873312,"url":"https://alion.io/job/check24-junior-data-scientist-mfd-search-ai-forge","title":"(Junior) Data Scientist (m/f/d) Search / AI Forge","company":{"id":51833,"name":"CHECK24","domain":"check24.de","url":"https://alion.io/company/check24","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Munich, Germany"],"countries":["DE"],"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":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Tool Use","optional":false},{"name":"A/B Testing","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Hybrid Search","optional":true}],"status":"live","first_seen_at":"2026-10-04T21:44:04Z","employer_posted_date":"2026-10-04","last_verified_at":"2026-10-20T07:29:02Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"(Junior) Data Scientist (m/f/d) Search / AI Forge\nZentrale\nMünchen\nApply now\nSummary\nJunior\nVollzeit\nFestanstellung\nAbout this job\nCHECK24 is the comparison portal: We are both the market leader and a dynamic startup. Working in agile teams, we make fast decisions and embrace flat hierarchies. By leveraging the latest tools and technologies as well as state-of-the-art AI methods, we drive data-driven innovation - always focusing on creating added value for our customers. Across more than 50 products, we work every day to continuously improve the user experience of our more than 20 million customers.\nOur Search Team within CHECK24 AI Forge develops scalable AI solutions for search and ranking across different CHECK24 products. Search is a crucial entry and navigation point for our customers and covers challenging domains ranging from e-commerce product search and web-style navigation to travel search for hotels, destinations and other products.\nSearch and Ranking are among the most demanding disciplines in applied machine learning. A successful system needs to understand user intent, retrieve relevant candidates, rank them effectively and meet demanding requirements for latency, scalability and measurable customer impact.\nTo strengthen our team, we are looking for someone with first relevant hands-on experience who is eager to grow into a strong Applied Machine Learning Engineer. In this role, you will work on production systems combining classical information retrieval, deep learning, embeddings and Large Language Models and contribute across the entire lifecycle from initial idea and evaluation to deployment, monitoring and continuous improvement.\nWe look forward to receiving your application as a (Junior) Data Scientist (m/f/d) Search at CHECK24 AI Forge GmbH.\nYour profile\nYou have successfully completed a degree (typically a Master's) in computer science, mathematics, statistics, physics, electrical engineering or a comparable quantitative field, with strong grades in quantitative subjects\nAt least one year of relevant hands-on experience in machine learning or data science is part of your background, including relevant experience gained through working-student positions, internships or your own projects\nStrong Python skills and practical experience with machine-learning or deep-learning frameworks such as PyTorch are part of your technical toolkit\nSolid classical machine-learning skills like gradient boosting, regression and feature engineering are evident in your CV, beyond LLM or RAG applications\nYou have practical experience with applications based on Large Language Models, LLM evaluation, tool use or agentic workflows\nA solid understanding of machine-learning fundamentals and systematic model evaluation enables you to assess and improve model performance\nPractical experience with APIs (e.g. FastAPI), containers and Git, ideally a deployed service, complements your interest in building complete production services\nKnowledge of information retrieval, semantic search, recommender systems or learning-to-rank approaches is a plus\nYou have English proficiency at C1 level or higher; German is a plus but not required\nYour tasks\nYou develop and improve machine-learning services for retrieval, ranking, query understanding and classification\nHybrid search solutions combine lexical retrieval, embeddings, neural models and components based on Large Language Models\nModel development covers training, fine-tuning and systematic evaluation for semantic search, relevance prediction and learning-to-rank use cases\nYou create reliable evaluation datasets and metrics and validate improvements through offline evaluations, user signals and A/B tests\nProduction-ready services are built from prototypes using technologies such as Python, FastAPI, Docker, PyTorch and vector databases\nModern AI-assisted and agentic engineering workflows enable efficient prototyping, testing and continuous improvement\nYou research promising approaches in information retrieval, recommender systems and Large Language Models and translate them into measurable customer impact\nWhat we offer\nDevelopment and responsibility\nYour commitment pays off - we support your talent and provide opportunities to grow your career quickly\nTake ownership of your topics, contribute your own ideas, try new approaches and gradually assume responsibility for production Search and Ranking systems\nBenefit from internal training with specialized coaches as well as an annual budget for external professional development\nTeam spirit and modern workspace\nExperience team spirit in your daily work and beyond, whether over lunch, a game of table football or after-work activities, and celebrate our successes at regular company and team events\nWork in an inspiring environment with a modern office and high-quality equipment such as MacBooks and height-adjustable desks\nFlexibility and balance\nFridays are home-office optional - and spending them in the office can earn you additional vacation days on top of your 28 days\nGet to the office conveniently with your free Deutschlandticket or a subsidized company bicycle\nEnjoy a free fresh lunch twice a week and use the opportunity to connect with your colleagues\nStay active with our internal sports classes or take advantage of our subsidized external sports offering, including EGYM Wellpass\nContact\nNatja Scheffler\n\nSend us applications only through our online application form, please.\nApply now\ntarget=\"_blank\"\nclass=\"shrink-0 h-full max-w-full flex items-center bg-black rounded-xl overflow-hidden\">\ntarget=\"_blank\"\nclass=\"shrink-0 h-full max-w-full flex items-center bg-black rounded-xl overflow-hidden\">\ntarget=\"_blank\"\nclass=\"shrink-0 h-full max-w-full flex items-center bg-black rounded-xl overflow-hidden\">\ntarget=\"_blank\"\nclass=\"shrink-0 h-full max-w-full flex items-center bg-black rounded-xl overflow-hidden\">\ntarget=\"_blank\"\nclass=\"shrink-0 h-full max-w-full flex items-center bg-black rounded-xl overflow-hidden\">\ntarget=\"_blank\"\nclass=\"shrink-0 h-full max-w-full flex items-center bg-black rounded-xl overflow-hidden\">\ngo to blog 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