Minimum qualifications:

• PhD degree in Computer Science, a related field, or equivalent practical experience.
• One or more scientific publication submission(s) for conferences, journals, or public repositories (such as CVPR, ICCV, NeurIPS, ICML, ICLR, etc.).

Preferred qualifications:

• Post-doctoral experience.
• Experience in the field of machine learning.
• Experience in the training and fine-tuning of LLMs.
• Experience in the use of LLMs in fields of program synthesis or automated code discovery.
• Excellent computer programming skills.
• First-authored or last-authored publications in the field of machine learning at top venues (e.g., ICLR, ICML, NeurIPS).

About the job

As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world.

Our team conducts basic research into alternative AI paradigms beyond those currently trending. Our goal is to discover novel AI algorithms that can be efficient to run on typical or alternate computing substrates, using a mix of automated, hand-designed, and hybrid methods—specifically focusing on how advancing Large Language Model (LLM)-related techniques can accelerate this process.

Responsibilities

• Carry out sustained exploratory research.
• Review literature, identify key questions, design experiments, and interpret results.
• Collaborate in person and remotely; maintain a respectful work environment.
• Share ideas verbally and in writing; publish and present work at journals or scientific conferences.