Senior Researcher - Accelerate Neural Technology for LLM

Responsibilities:

• Participate in applied and fundamental research projects by proposing new solutions, developing them, and running experiments.
• Training and developing LLMs.
• Deliver projects, presenting results, publishing in top AI conferences.
• Tracking the new advances in the NLP/AI field and bringing insights to the team.
• Design and build prototypes, proof of concepts and demos of LLM applications.
• Develop and optimize performance-critical LLM applications targeting resource-constrained situations.
  

What you’ll bring to the team:

• PhD in Computer Science, Software Engineering, Mathematics, Physics, Statistics or related subjects, candidates with postdoc or several years of research experience is an asset.
• Solid publications track a top tier AI/ML/NLP conferences (NeurIPS, ICML, ICLR, AISTAT, ACL, EMNLP, NAACL, etc. …)
  
• Understanding of fundamentals and state of the art techniques in deep learning and NLP.
  
• Good theoretical grounding in machine learning and efficient computing techniques.
  
• Solid experience with machine learning and deep learning models in PyTorch or TensorFlow.
  
• Solid coding skills in in CUDA, C++, parallel programming,  experience in low-level software development for real-time system high-performance computing and the familiarity with low-precision number format is an asset.