Research Engineer, Fundamental AI Research - CoreML and Optimization

Meta's Fundamental AI Research (FAIR) team is seeking a Research Engineer to push the boundaries of artificial intelligence. This role combines cutting-edge research with practical engineering to advance machine learning and AI technologies. The position focuses on developing and optimizing algorithms for training and inference of deep learning models at scale.

The ideal candidate will work at the intersection of research and engineering, implementing novel approaches to machine learning while ensuring their practical applicability at Meta's scale. You'll be responsible for developing optimization algorithms, working with distributed computing systems, and designing new AI model architectures. The role requires both theoretical understanding and hands-on implementation skills.

Working at Meta offers unique opportunities to impact billions of users through your research and engineering work. You'll collaborate with world-class researchers and engineers in the FAIR team, contributing to fundamental AI research while seeing your work deployed in real-world applications. The role involves publishing research papers, contributing to open-source projects, and working on problems that push the boundaries of what's possible in AI.

The position offers competitive compensation including base salary, bonus, equity, and comprehensive benefits. Meta's culture encourages innovation, collaboration, and impact at scale. You'll be part of a team that values both theoretical advances and practical implementations, with the resources and scale to turn research ideas into reality.

This is an excellent opportunity for someone passionate about both research and engineering, who wants to work on fundamental AI problems while having their work impact products used by billions of people. The role combines the intellectual challenge of research with the satisfaction of seeing your work deployed at scale.