A leading global technology innovator is looking for a researcher to develop foundational architectures for autonomous AI agents, focusing on memory and learning algorithms. The ideal candidate will hold a PhD in Machine Learning or a related field, have a strong publication record, and possess skills in reinforcement learning and memory-augmented systems. This role includes formulating research directions and collaborating with peers in a dynamic environment. Interested candidates are encouraged to apply or send their CV to nk@eu-recruit.com.
Qualifications
PhD in Machine Learning, AI, or a closely related field.
Demonstrated ability to independently define and execute research agendas.
Strong mathematical foundation and experimental rigor.
Responsibilities
Formulate novel research directions in agentic learning and autonomy.
Design and analyse new architectures for memory and decision‑making.
Collaborate with a small group of research peers.
Skills
Reinforcement Learning theory or algorithms
Memory‑augmented neural networks
Large language model adaptation
Continual learning
Strong publication record
Solid implementation skills (PyTorch, JAX)
Education
PhD in Machine Learning or related field
Job description
A leading global technology innovator is looking for a researcher to develop foundational architectures for autonomous AI agents, focusing on memory and learning algorithms. The ideal candidate will hold a PhD in Machine Learning or a related field, have a strong publication record, and possess skills in reinforcement learning and memory-augmented systems. This role includes formulating research directions and collaborating with peers in a dynamic environment. Interested candidates are encouraged to apply or send their CV to nk@eu-recruit.com.