Role Overview
We are seeking an AI Researcher to join our dynamic team dedicated to advancing the frontiers of artificial intelligence and machine learning. The ideal candidate will possess a robust research background, a creative mindset, and a passion for tackling challenging analytical problems. This role involves exploring cutting-edge technologies, developing innovative solutions, and effectively communicating findings across diverse technical audiences.
Minimum Qualifications:
A strong research background in Artificial Intelligence, Machine Learning, Computational Physics, or related disciplines.
Proven track record in solving complex analytical problems using rigorous quantitative methodologies.
Demonstrated ability to clearly communicate research findings to diverse audiences.
Proficient programming skills in one or more languages such as Python, C/C++, C#, or equivalent.
Preferred Qualifications:
PhD in Computer Science, Computational Physics, or a closely related field.
Proven experience in research and engineering, as evidenced by grants, fellowships, patents, internships, professional experience, or strong performance in competitive coding environments.
First-authored publications in recognized peer-reviewed conferences or journals.
Preferred Technical Experience:
Research expertise in LLM reasoning, hypernetworks, multi-task learning, meta-learning, designing novel LLM adaptation methods.
Send us your CV and code to career@nace.ai