Job Summary
This position focuses on leading innovative research that merges deep learning techniques, structured data, and Large Language Models to develop advanced neural architectures. The role includes working alongside cross-functional teams to convert theoretical advances into robust, production-capable systems for managing complex and varied graphs.
Responsibilities
- Conduct groundbreaking research in the domain of deep learning and structured data.
- Create and optimize novel neural architectures applicable to Large Language Models.
- Collaborate with interdisciplinary teams to ensure theoretical results are translated into practical applications.
- Develop frameworks suitable for complex and heterogeneous graph structures.
Qualifications
- PhD in Computer Science or a related discipline.
- Minimum of 2 years of experience in leading research initiatives.
- Strong proficiency in AI and machine learning frameworks.
- Proven history of scientific publications in relevant fields.
