Head of AI Research
will include: Set the intellectual direction for AI for Materials - Define Dunia’s research thesis for AI-native materials discovery - Ident
will include: Set the intellectual direction for AI for Materials - Define Dunia’s research thesis for AI-native materials discovery - Ident
This role will design and develop technology in partnership with other software engineers in the US, UK, Germany, and Japan.
be part of our Data Science team to further optimize our innovative product based on machine learning and artificial intelligence - work on
Improve our computer vision pipeline end to end, from person and hand tracking to action recognition with VLMs - Fine-tune and evaluate visi
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a novel AI safety agenda.
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.
Führt Teams bei Software- und ML-Systemen zur Zahlungsrisiko- und Betrugserkennung, verantwortet Architektur und begleitet Produktivsetzung und Incident-Reviews.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
is linked with our office in Berlin, but we are flexible about hybrid or remote work in Germany.
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.
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
We re looking for a Senior AI Engineer to join our process engineering team shaping the future of banking operations.
Work on product and tech initiatives finding the right mix between effort, quality and user value - Optimize and improve the AS24 technology
We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
will include: Set the intellectual direction for AI for Materials - Define Dunia’s research thesis for AI-native materials discovery - Identify where existing ML paradigms fail when applied to physical matter, and what must be built instead - Decide which research bets have the potential to shift the field, not just improve benchmarks Build and lead a world-class research team - Hire, mentor, and challenge senior ML researchers and scientists - Create an environment that values deep thinking, honest evaluation, and intellectual courage - Set a high bar for scientific taste, clarity, and originality Turn research into systems that discover - Work closely with Programs, Hardware & Automation, and Software Architecture to embed research into end-to-end discovery loops - Ensure models are grounded in physical reality and experimental feedback, not just data abstractions - Balance long-horizon research with near-term delivery without reducing ambition Shape the external field - Influence how AI for Materials is discussed, evaluated, and pursued across academia and industry - Build collaborations that extend Dunia’s reach while protecting focus and IP - Represent a clear, opinionated point of view on where the field should go next
PhD in ML; background in physics, chemistry, or a related field desired - 7+year s experience in AI research, including leadership of senior ICs - Deep experience in representation learning, scientific ML, or foundation models - Strong intuition for physical systems and their constraints - Proven ability tooperateat the boundary between theory, systems, and real-world feedback - High scientific taste and comfort making irreversible prioritization decisions under uncertainty - Clear communicator who can align researchers, engineers, and leadership around ambitious goals - English fluency,additional languages preferred
Your mission Define how AI can understand, reason about, and discover materials Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline. As Head of AI Research, you will define and lead Dunia’s AI-for-Materials agenda at the intersection of machine learning, physics, chemistry, and automated experimentation. This role is about more than applying existing ML techniques to scientific data.
It is about inventing the representations, learning paradigms, and evaluation frameworks that allow AI to reason about matter across scales. You will spearhead the development of Dunia s Materials World Model, shaping how AI interacts with experiments and simulations, and how scientific insight is translated into systems that reliably produce new materials with real-world impact.
Interesse an dieser Position?
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Zur Originalanzeige204 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 82 in der KI-Entwicklung, 62 in Integration & Automatisierung.