We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda.
As a Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering pract
Entwickelt das Agents Kit, ein Mendix-SDK für Agenten und agentische Anwendungen, und arbeitet dazu mit Early-Adopter-Kunden in München.
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
To strengthen our AI for Science (AI4S) team, we are looking for AI/ML Engineers with a track record in developing and validating machine le
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.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Our customers build the frontier of AI on top of Nebius — training state-of-the-art models, running production inference at scale, shipping
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect t
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
Executive partnership - Act as the primary technical counterpart to CTOs, VPs of Engineering, and research/engineering leadership.
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt KI-Modelle in Produktion und überwacht Modell- sowie Infrastrukturleistung.
About Black Forest Labs We’re the team building the foundational layer for visual intelligence: multimodal models trained jointly on images,
Entwickelt Fine-Tuning- und Post-Training-Pipelines sowie Inferenzbeschleunigungsverfahren für große Modelle und optimiert sie auf eigener Hardware.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
As an AI Engineer, with focus on A/ML-Ops, you ll collaborate closely with our product and tech team to bring AI-driven features reliably in
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Own and Evolve Our Infrastructure – You take ownership of our AWS and Hetzner environments and evolve them further – everything as Infrastru
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
and qualifications Background & experience - PhD in a relevant field (e.g., Computer Science, Mathematics). - 10+ years experience in machine learning / deep learning - 5+ years experience leading projects and people - Experience leading machine learning / deep learning research projects - Experience in foundation models Role fit - Strong alignment with LawZero’s existing research agenda. - Note: We highly recommend that interested candidates read into the Scientist AI framework before confirming interest. - Advanced oral and written communication skills, with the ability to translate complex scientific concepts for diverse audiences. - Resilience and advanced problem-solving skills when facing ambiguous or unmapped technical challenges. - Proven ability to push the boundaries of our research while fostering a sustainable, healthy work environment for your team. About LawZero LawZero is a non-profit organization committed to advancing research and creating technical solutions that enable safe-by-design AI systems. Its scientific direction is based on new research and methods proposed by Professor Yoshua Bengio, the most cited AI researcher in the world.
Based in Montreal, LawZero’s research aims to build non-agentic AI that learns primarily to understand the world rather than to act in it, giving truthful answers to questions based on transparent and externalized probabilistic reasoning. Such AI systems could be used to accelerate scientific discovery, to provide oversight for agentic AI systems, and to advance the understanding of AI risks and how to avoid them. LawZero believes that AI should be cultivated as a global public good—developed and used safely towards human flourishing.
For more information, visit You belong here At LawZero, diversity is important to us. We value a work environment that is fair, open and respectful of differences. We welcome applications from highly qualified individuals interested in working towards our mission in a respectful, inclusive and collaborative setting.
Your personal information will be collected and processed by LawZero to evaluate your application for employment in compliance with our Privacy Policy. Under privacy laws in force in your country of residence, you may have several privacy rights, such as to request access to your personal information or to request that your personal information be rectified or erased. Details on how you can exercise your rights can be found in our Privacy Policy.
We are seeking a Machine Learning (ML) Manager to join our growing team dedicated to a novel AI safety agenda. In this role, you will join the group tasked with designing and implementing innovative ML models using the Scientist AI approach developed by Yoshua Bengio. As both a people manager and technical leader, you will guide research team members and spearhead complex projects within a matrix structure.
You will bridge the gap between cutting-edge scientific theory and large-scale engineering execution. People management - Lead, mentor and inspire a team of mission-minded and highly skilled ML research scientists and engineers. - Partner with other leaders and talent acquisition to scale the organization. Drive technical hiring, active sourcing, interviewing, and onboarding to accelerate our research velocity. - Coach technical team members to help them do their best work and develop new skills, while ensuring a high quality, supportive employee experience. - Lead with humility to cultivate an inclusive, collaborative and intellectually rigorous environment. - Display managerial courage as needed to continue fostering a healthy and productive work environment as we scale.
Technical leadership - Guide cross-functional project teams tackling complex, sometimes unchartered, scientific and engineering challenges within an evolving matrix structure. - Manage and optimize research workflows to ensure rigorous, reproducible results at the frontier model scale. - Advocate for our research agenda internally and externally, maintaining momentum to achieve breakthroughs and overcome complex technical roadblocks. - Collaborate within and across projects, bridging theoretical concepts and advanced engineering.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige