Ai Jobs in EU

[Applicants: Oltre 200 candidati] Condé Nast is a global media company producing the highest quality content with a footprint of more than 1 billion consumers in 32 territories through print, digital, video and social platforms. The company’s portfo

[Applicants: Sii tra i primi 25 candidati] Company DescriptionAt Atlante we develop EV charging stations to enable the transition towards zero-emission: empowering people to move freely in harmony with the planet. We are building Southern Europe’s l

[Applicants: Sii tra i primi 25 candidati] Chi è Jet HR?Video dal CEO e founder - 3 min 👈🏻Siamo una startup fondata nel 2023 da imprenditori seriali:Marco OgliengoeFrancesco Scalambrinohanno già fondato aziende di successo e costruito HR software

[Applicants: Sii tra i primi 25 candidati] We are looking for an AI Engineer to join our AI Services and Delivery team. Within the team you will be part of the Engineering chapter exchanging experience, know-how and ideas with other engineers of dif

[Applicants: Oltre 200 candidati] Cosa ti proponiamoAll’interno della divisioneEng Digitalper la business lineEng AI & Datasiamo alla ricerca di una figura diJunior Data Scientistper progettualità legate alAI, GenAI, Machine Learning e Data Sciencen

[Applicants: Sii tra i primi 25 candidati] Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiative

Siamo alla ricerca di risorse altamente qualificate in ambito Intelligenza Artificiale, in particolare AI Engineer, da inserire in progetti di consulenza presso i nostri prestigiosi clienti.I nostri clienti sono aziende leader nel settore delle telec

We are seeking anAI Engineerto join our Technology and Innovation team. You will work closely with cross-functional teams to design, implement and optimize AI-powered systems that generate creative content for global enterprise companies and serve th

You'll have direct influence on the models we ship.</p><p style="min-height:1.5em"></p><h2><strong>Your Responsibilities</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em"><strong>Co-Own data pipelines end-to-end:</strong> Design, build, and maintain the infrastructure that sources, processes, deduplicates, filters, and prepares pre-training corpora at scale. Monitor pipeline health and data quality metrics at scale.</p></li><li><p style="min-height:1.5em"><strong>Close data gaps:</strong> Work with evaluation and post-training teams to identify where model weaknesses trace back to data coverage, then source or generate the data needed to address them.</p></li><li><p style="min-height:1.5em"><strong>Collaborate with post-training:</strong> Partner closely with the post-training team to ensure pre-training data decisions support downstream fine-tuning, alignment, and deployment goals - data choices upstream shape what's possible downstream.</p></li><li><p style="min-height:1.5em"><strong>Co-Own German-language data:</strong> Ensure deep, high-quality coverage of German-language corpora - this is core to our value proposition, not an afterthought.</p></li><li><p style="min-height:1.5em"><strong>Establish data-to-performance signal:</strong> Design and run ablation studies to validate data choices - measuring how changes in composition, filtering, or sourcing affect pre-training evaluation metrics and downstream capabilities.</p></li><li><p style="min-height:1.5em"><strong>Take data transparency seriously</strong>: Maintain data lineage and provenance so the team knows exactly what went into each training run.</p></li></ul><h2><strong>Your Profile</strong></h2><h2><strong>Basic Qualifications</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Track record of shipping impactful technical work - whether that's research, infrastructure, or both.</p></li><li><p style="min-height:1.5em">Strong Python skills and comfort with data engineering and ML infrastructure, including experience with deep learning frameworks, workflow orchestration, object storage, columnar data formats, and distributed processing.</p></li><li><p style="min-height:1.5em">Ability to reason about what a dataset contributes to model training and whether it matters - not just process data, but understand it.</p></li><li><p style="min-height:1.5em">Ownership mentality: you see problems through from diagnosis to solution to deployment.</p></li><li><p style="min-height:1.5em">Willingness to relocate to Heidelberg or travel at least fortnightly.</p></li></ul><h2><strong>Preferred Qualifications</strong></h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Experience with large-scale data processing for ML, including corpus sourcing, curation, cleaning, deduplication, and filtering.</p></li><li><p style="min-height:1.5em">Familiarity with data quality methods: classifier-based filtering, heuristic scoring, perplexity-based selection, and decontamination.</p></li><li><p style="min-height:1.5em">Understanding of foundation model training - how data composition, scale, and mixing ratios affect capabilities.</p></li><li><p style="min-height:1.5em">Experience with web-scale data sourcing and crawl processing (e.g., Common Crawl, WARC pipelines).</p></li><li><p style="min-height:1.5em">Rust proficiency (parts of our data pipeline are performance-critical).</p></li><li><p style="min-height:1.5em">Infrastructure knowledge - experience with Kubernetes, container orchestration, or cloud-native ML infrastructure.</p></li><li><p style="min-height:1.5em">PhD in machine learning, NLP, data engineering, or a related field (valued but not required - we care about what you can do).</p></li><li><p style="min-height:1.5em">Bonus, but not required: German language proficiency can be helpful for curating and assessing German-language data.</p></li></ul><h2>Compensation and Benefits</h2><ul style="min-height:1.5em"><li><p style="min-height:1.5em">Become part of an AI revolution!</p></li><li><p style="min-height:1.5em">30 days of paid vacation</p></li><li><p style="min-height:1.5em">Access to a variety of fitness &amp; wellness offerings via <a target="_blank" rel="noopener noreferrer" class="theme markdown__link" href="https://wellhub.com/de-de/">Wellhub</a></p></li><li><p style="min-height:1.5em">Mental health support through <a target="_blank" rel="noopener noreferrer nofollow" href="http://nilo.health">nilo.health</a></p></li><li><p style="min-height:1.5em">Substantially subsidized company pension plan for your future security</p></li><li><p style="min-height:1.5em">Subsidized Germany-wide transportation ticket</p></li><li><p style="min-height:1.5em">Budget for additional technical equipment</p></li><li><p style="min-height:1.5em">Flexible working hours for better work-life balance and hybrid working model</p></li><li><p style="min-height:1.5em">Virtual Stock Option Plan</p></li><li><p style="min-height:1.5em"><a target="_blank" rel="noopener noreferrer" class="theme markdown__link" href="https://www.jobrad.org/">JobRad®</a> Bike Lease</p></li></ul><div style="text-align:left"><img style="max-width:100%" src="https://app.ashbyhq.com/api/images/user-content/aa99046a-07f4-421d-8d6a-afe18d87eb09/a6a3f816-65cc-4590-aa69-685dcbbeac0b/image.png" /></div><ul style="min-height:1.5em"><li><p style="min-height:1.5em"></p></li></ul>

Remote Micro-equity or volunteer basis Early-stage AI/Education Startup Maxibook is an early-stage AI startup rethinking how scientific knowledge is delivered, organized, and personalized. Tasks AI Visuals Creator (Images & Video for Knowledge) We are looking for a creative contributor who can produce high-quality visuals using AI tools, helping us translate complex scientific concepts into clear, engaging images and short videos.