Push the boundaries of AI research in NLP, computer vision, or reinforcement learning. PhD preferred.
Responsibilities
- Conduct fundamental and applied research in deep learning, focusing on LLMs and agentic systems.
- Publish findings in top-tier conferences (NeurIPS, ICML, ACL).
- Develop novel architectures and training methodologies.
- Work with engineering teams to integrate research breakthroughs into core products.
Requirements
- PhD in Computer Science, Artificial Intelligence, or a related field.
- Proven track record of publications in top-tier AI conferences.
- Deep mathematical understanding of machine learning algorithms.
- Strong programming skills in Python and PyTorch.