Researcher - Reinforcement Learning and LLM Reasoning

Our team has a 12-month contract opening for a Researcher.

Responsibilities:

• Conduct cutting-edge research in the field of Natural Language Processing /Large Language Models (LLMs), focusing on advancing model reasoning.
  
• Leverage Reinforcement learning and Deep Learning to enhance reasoning capabilities and decision-making of LLMs.
  
• Design, implement, and experiment with novel methods to improve model and performance and efficiency in real-world applications.
• Publish high-quality research in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR) and contribute to the broader machine learning community.
  

Requirements

What you'll bring to the team:

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, or a related technical field.
  
• Strong research background with a track record of publications in top-tier AI conferences (NeurIPS, ICML, ICLR, ACL, etc.).
  
• Expertise in Large Language Models (LLMs) and hands-on experience with frameworks like PyTorch or TensorFlow.
  
• Hands-on experience with fine-tuning, RLHF, and applying advanced reasoning methods such as Chain of Thought and In-Context Learning.
  
• Proficient programming skills in Python and strong experience with model development and optimization.
  
• Effective analytical, problem-solving, and troubleshooting skills with a focus on innovative research solutions.
  
• Strong communication skills, both written and verbal, and a demonstrated ability to convey complex research findings to a variety of audiences.