Meta's Fundamental AI Research (FAIR) team is seeking a Research Engineer to join their CodeGen research initiative, focusing on advancing the state of AI through open science innovations. This role combines cutting-edge research in code generation with practical engineering implementation, offering an opportunity to make fundamental advances in AI systems at unprecedented scale.
The position involves working on innovative areas including Code Generation, Code World Modeling, Agentic Code Generation, and Math Reasoning. As a Research Engineer, you'll be responsible for conducting fundamental research that pushes the boundaries of AI technology, while also implementing and optimizing large-scale machine learning systems.
The ideal candidate will have a strong foundation in both research and engineering, with at least a Master's degree in Computer Science or related field and 2+ years of industry experience. Experience with modern ML frameworks, particularly PyTorch, and programming languages like Python and C++ is essential. The role requires expertise in training and optimizing large language models, specifically focusing on code and mathematical data.
Working at Meta offers the unique opportunity to impact billions of users while contributing to the advancement of AI research. The FAIR team is committed to open science, encouraging publication of research findings and contribution to the broader AI research community. The position offers the chance to work with world-class researchers and engineers in a collaborative environment, with locations in both Tel Aviv and Paris.
Meta provides a comprehensive benefits package and strongly supports diversity and inclusion in its hiring practices. The company is committed to advancing the field of AI while maintaining high standards of research integrity and ethical considerations. This role represents an excellent opportunity for those passionate about pushing the boundaries of AI technology while working on practical applications that can benefit society at large.