We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda.
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.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
At Helsing, we are pioneering the future of autonomous decision-making for defence.
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.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers.
We’re on the lookout for an ambitious AI-Engineer to join our Engineering team at our office in Berlin.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
Your mission Join our ranking team and build the intelligent systems at the core of Cosuno s platform.
Entwickelt und betreibt produktive LLM-Pipelines für Logistikdokumente, inkl. Prompt-Design, Evals, Monitoring und Modellauswahl.
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
This role is for engineers who care about velocity and solving real customer problems.
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
Entwirft und baut KI-gestützte Workflows mit LLMs und RAG, die Fachbereiche wie Finanzen und Vertrieb automatisieren, und verbindet dafür interne Systeme per API.
on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
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You will build and iterate on internal tools and products, integrating AI capabilities into our systems.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
As an AI Product Manager, you ll work on products in our AI audit toolbox alongside engineers, designers, auditors and our founders.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
We are seeking a senior machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models. Key responsibilities - Collaborate with researchers to accelerate research, model training and inference, and facilitate the efficient implementation of novel models and simulated environments. - Design and implement workflows for research experiments across toy scenarios and large scale projects. - Develop tools and libraries to optimize the use of computing resources. - Establish, document, and maintain best practices for ML model development workflows.
Skills and qualifications - A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience. - 5+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX. - Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development. - Experience with cloud platforms (e.g., AWS, GCP, Azure). - Familiarity with containerization tools (e.g., Docker, Kubernetes). - Familiarity with data infrastructures and platforms (e.g., vector databases). - A track record of contributing to high-quality research projects in deep learning. 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.
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Zur Originalanzeige204 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 82 in der KI-Entwicklung, 62 in Integration & Automatisierung.