Meta is seeking Research Engineers to join FAIR, our world-class research lab. We are seeking individuals to work on our "Objective-driven AI" agenda. Our goal is to enable large language models (LLMs) with better planning and reasoning capabilities, improve their test-time safety, and reduce their non-factual hallucination.

Research Engineer, Core Learning Responsibilities:

• Collaborate on the development of our objective-driven AI agenda, where our goal is to improve the planning and reasoning capabilities of LLMs.
• Develop the code infrastructure needed to train and test objective-driven AI ideas efficiently at scale.
• Collaborate on open-sourcing our scientific breakthroughs.

Minimum Qualifications:

• Effective programming skills (Python, C++)
• Currently has, or is in the process of obtaining, a Masters degree with relevant research experience in Computer Science or related fields.
• Solid background on the foundations of machine learning.
• Experience in working on complex machine learning code bases at scale.
• Experience collaborating within a research team to solve complex problems.

Preferred Qualifications:

• Lead-authored publications at peer-reviewed conferences (e.g. NeurIPS, ICLR, CVPR or similar)
• Has obtained a PhD degree in Computer Science or related fields.
• Demonstrated machine learning experience in one of the following: internship, open-source activity, data science competitions
• Experience in creating high-performance implementations in deep learning frameworks (PyTorch, CUDA)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.