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.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
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
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.
AI is moving faster than any single product team can track.
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
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.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
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.
Design and implement decoupled data supply chains, spanning landing zones, quality and transformation layers, and consumption layers, to ens
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
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
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
adjoe builds the technologies behind mobile apps growth and monetization.
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
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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