AI Researcher

Role overview Research and develop methods that make autonomous AI systems more capable, reliable, and interpretable. The work combines theoretical investigation with experiments and practical prototypes, in close collaboration with engineering and product teams so that promising ideas can be applied in production.

Responsibilities - Investigate autonomous agents, reasoning systems, and knowledge representation. - Develop algorithms and approaches to improve agent capabilities and reliability. - Design and run experiments to test research hypotheses and compare methods. - Work with engineering teams to prototype research ideas and integrate them into production systems. - Publish findings and present results to technical and non-technical audiences. - Mentor junior researchers and identify promising directions through ongoing field research.

Requirements - PhD in computer science, machine learning, or a related field. - Deep expertise in at least one area such as autonomous agents, LLM architectures, reasoning, or knowledge representation. - Strong Python programming skills and experience with modern machine learning frameworks. - Experience with large language models and their applications. - Ability to conduct independent research and lead research projects. - Strong written and verbal communication skills. - A strong publication record at leading conferences is preferred.

Nice to have - Experience with cognitive architectures, symbolic reasoning, or multi-agent and distributed AI. - Industry research experience or experience bringing research into practical use. - Experience mentoring researchers or leading research projects.

Benefits and work setup - Flexible work environment with support for focused research. - Access to computing resources and AI infrastructure. - Research budget and support for conference attendance and publication.