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.
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
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
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.
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
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.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs throu
Design and implement scalable data ingestion pipelines for structured and unstructured data sources, including manufacturing systems, edge d
Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturi
Focus: Operating, maintaining, and continuously improving productive AI and ML systems in cloud environments - As part of our AI Operations
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
We are seeking a highly skilled ML/AI Engineer to join our team to lead and support benchmarking of GPU platforms benchmarking of GPU platfo
Entwickelt theoretische Rahmenwerke und Architekturen für sichere KI-Systeme und beweist probabilistische Sicherheitsgarantien unter Daten- und Rechenbeschränkungen.
As a Software Engineer, you will build the world leading Agentic AI product for biomedical researchers by combining robust engineering pract
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
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data
Entwirft und betreibt GPU-Cluster und Deployment-Pipelines, bringt KI-Modelle in Produktion und überwacht Modell- sowie Infrastrukturleistung.
What we build Most companies find out about supplier insolvencies, cyber attacks, factory fires or floods that affect their supply chain whe
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Applied AI research engineer with at least 3 years of experience in backend development or AI in production. - Strong command of Go (microservices, REST/gRPC, high performance) and Python for AI/ML. - Solid experience with cloud-native architectures: Docker, Kubernetes, CI/CD, observability, distributed systems, and real-time services. - AI/ML/NLP skills: LLMs, embeddings, classification, text generation, model evaluation; familiarity with MLOps is a plus. - Proven ability to design, optimize, and deploy scalable AI services in production; experience in deploying AI prototypes is highly valued. - Scientific curiosity, autonomy, rigor, and strong teamwork skills. - Excellent communication skills, documentation abilities, and the capacity to simplify complex topics. - Professional fluency in English, both written and spoken. Your
Hybrid home-office options and flexible, trust-based working hours. - Be part of a growing global company in one of the most dynamic industries — cybersecurity. - Short decision-making paths and flat hierarchies within an open and collaborative work environment. - Opportunities for personal and professional development. - Be-Active Bonus — financial support for fitness and sports club memberships. - Temporary Employee Exchange Program — opportunities to work at international office locations (e.g. Malta, Madrid, Montreal, Washington, D.C.). - Referral Bonus — €1,500 for each successful referral.
Intro We are looking for an AI Research Engineer to join the PAIR team and play a central role in the design, development, experimentation, and production deployment of innovative AI-driven services (LLMs, autonomous agents, automation, NLP, analytics services, etc.). You will be involved in the entire project lifecycle, from ideation and prototyping to production deployment, while actively contributing to the applied research initiatives of the Security Lab. You will work closely with multidisciplinary teams to turn ambitious ideas into concrete, robust, and scalable AI solutions in an environment that encourages continuous innovation.
Your Job End-to-End Ownership of AI Solutions - Design, develop, and maintain AI services from prototype to production. - Ensure robustness, performance, scalability, and operational reliability of solutions in industrial settings. Rigorous Experimentation & Applied Research - Methodically test and benchmark AI models (standards, metrics, comparisons). - Document results and propose innovative solutions tailored to cybersecurity challenges. Innovation & Technology Watch - Maintain active and structured monitoring of advances in AI/ML, LLMs, agents, NLP, as well as DevOps and MLOps best practices. - Anticipate technological developments and contribute to the technical roadmap.
Technical Leadership, Documentation & Collaboration - Be a key contributor to technical quality, knowledge sharing, and internal communication. - Produce clear documentation and provide technical support to teams.
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