im Team You will support the ECHT team in its mission of transforming traditional materials research into a fully digitalised, data-driven p
Entwickelt und verantwortet die iOS-App, die ein iPhone am Mikroskop mit On-Device-Computer-Vision-Modellen in Echtzeit betreibt.
In this role, you will work in the field of AI for CT image formation, reconstruction and denoising.
In this role, you will work in the field of systems and physics of computed tomography to help address unmet clinical needs in precision diagnosis.
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world s leading travel search engine.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Definiert die Kamera-Spezifikation für Manipulationsdaten, baut das Bewertungs-Harness und trainiert erste Robotik-Policies auf eigenen Lagerdaten.
You will take responsibility for clinical data science deliverables, applying your skills to ensure quality and efficiency.
Entwickelt autonome Serviceroboter für industrielle Inspektion und Wartung, testet sie im Feld und publiziert Forschungsergebnisse.
The AI Teams at Agile Robots are looking for a Robotics Data Engineer (m/f/d) Data Generation & Curation, who will build the pipeline that r
As an ML Research Engineer at SEMRON, you will design the algorithms and quantization schemes that unlock efficient, high-accuracy inference
We’re hiring researchers to advance foundation models for structured data, with particular interest in structured data, in-context learning,
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
Create & Innovate: Actively participate in the conceptualization phase.
Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
You will have ownership over designing, building, and scaling the core systems that bring Prior Labs foundation models to the world.
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At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
Optimiert und betreibt die Trainingsinfrastruktur für generative Audiomodelle: GPU-Profiling, verteiltes Training und SLURM-Cluster.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight.
Intro We are looking for an AI Research Engineer to join the PAIR team and play a central role in the design, development, experimentation,
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
involve implementing standardised data structures, metadata schemas, and domain ontologies for material deposition, characterisation, and electrochemical testing to ensure full compliance with FAIR data principles and enable downstream automated analytics. You will design, build, and maintain robust data pipelines to automate the ingestion, processing, and curation of complex experimental datasets directly from synthesis systems and analytical instruments. You will establish and enforce clear data governance frameworks, Data Management Plans (DMPs), and access policies across the ARA-ESM domain to guarantee data integrity and security. You will develop intuitive APIs, connectors, and integration workflows to link electronic lab notebooks (ELNs), laboratory information management systems (LIMS), and central data repositories. You will create interactive dashboards and data visualisation tools that empower domain researchers to easily explore, query, and interpret multi-dimensional material properties. You will collaborate with domain experts to prepare high-quality, interoperable datasets and support the deployment of machine learning models for predictive material discovery.
Completed studies (Master’s or PhD) in Data Science, Computer Science, Materials Science, Chemistry, Physics, or a related technical field. Strong programming skills in Python, including relevant data libraries (e.g., Pandas, NumPy, SciPy) and workflow automation. Solid background in software engineering principles, including scalable architecture, automated testing, version control workflows (Git), and CI/CD pipelines.
Principal understanding of laboratory data from material synthesis, characterisation, or electrochemical testing is an advantage. Familiarity with interactive visualisation tools (e.g., Plotly, Dash) and foundational machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-Learn). High level of commitment, strong team spirit, and an enthusiasm for continuous learning and professional development.
Very good command of English (spoken and written) is essential, German language skills are an asset. Erfahrung Proven experience in Research Data Management (RDM), metadata standards, and practical implementation of FAIR principles and knowledge of European data management regulations (EU Data Act, EU AI Act). Hands-on experience with semantic web technologies, knowledge representation, and ontologies (e.g., RDF, OWL, JSON-LD, EMMO) is an advantage.
The minimum gross annual salary on a full-time basis (38,5 h / week) according to the collective agreement is EUR 56.784,--. The actual salary will be determined individually, based on your qualifications and experience. In addition, we offer company benefits, flexible working conditions, individual training and career opportunities. Highlights of our employee benefits include a canteen and meal allowance, organic coffee, tea and fruit baskets, preventive healthcare benefits and company doctor, pension fund, additional days off for various life events, family benefits (including two weeks of paid paternity leave “Papa-Weeks” and leisure subsidies), voucher programme, sports, cultural and socialising events and many more, as well as flexitime models (incl. up to 50% home office), travel support for conferences and networking, and individual training and career development opportunities. At AIT, we create an inclusive and family-friendly working environment that promotes equal opportunities and actively strengthens diversity across our workforce and in leadership positions. Among other initiatives, we are committed to increasing the proportion of women in our company and therefore particularly welcome applications from female applicants. Technologien und Skills NumPy Python TensorFlow PyTorch SciPy scikit-learn Dash Git Pandas Plotly RDF Unsere Erwartungen an dich:
No All-In-Verträge Gute Anbindung Frisches Obst Betriebsarzt Paten- & Mentor- Programm Team Events Flexible Arbeitszeiten Kaffee, Tee o. Ä Kantine/Betriebsrestaurant Mitarbeitervergünstigungen Essenszulage Barrierefreiheit Extra Urlaubstage Handy zur Privatnutzung Psychische Gesundheitsv. Home Office Betr. Altersvorsorge Fahrradabstellplatz
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.