Research Scientist Intern, AI Systems Machine Learning (PhD)

Meta's Fundamental AI Research (FAIR) team is seeking Research Scientist Interns to drive innovation in artificial intelligence. This role offers a unique opportunity to work at the intersection of systems and machine learning, focusing on advancing AI through open science innovations.

The position involves conducting cutting-edge research in deep learning, computer vision, audio processing, natural language processing, and machine learning systems. Interns will work on solving complex systems challenges and making core algorithmic advances that can be applied at unprecedented scale.

The internship spans 12-16 or 24 weeks, offering flexibility in start dates throughout the year. You'll be part of Meta's mission to advance AI technology while working with world-class researchers and cross-functional teams. The role combines theoretical research with practical implementation, focusing on developing scalable and efficient AI systems.

As an intern, you'll contribute to groundbreaking research in areas such as resource-efficient AI scaling, neural network architectures, and environmentally-sustainable AI system designs. The position offers competitive compensation ($7,800-$11,293/month) and the opportunity to work with Meta's extensive technical infrastructure.

Ideal candidates should have a strong academic background in machine learning or AI, demonstrated through publications at top conferences like NeurIPS, ICML, or ICLR. Experience with Python, C++, and PyTorch is essential, as is the ability to work collaboratively in a research environment.

This role provides an excellent opportunity to make meaningful contributions to the field of AI while working at one of the world's leading technology companies. You'll gain valuable experience in both theoretical research and practical implementation, with the potential to see your work impact Meta's products and services used by billions of people worldwide.