About the Role

This is a PhD-level research scientist internship focused on advancing representation learning algorithms, particularly for visual models like DINO. The intern will develop novel deep learning systems, collaborate with researchers, and contribute to Meta's AI research and product development. The internship lasts 12-24 weeks with flexible start dates.

Key Responsibilities

• Develop novel state-of-the-art representation learning algorithms and systems using deep learning techniques
• Analyze and improve efficiency, scalability, and stability of deployed algorithms
• Perform research to advance the science and technology of intelligent machines
• Perform research enabling learning the semantics of data
• Collaborate with researchers and cross-functional partners, communicating plans and results

Required Skills & Qualifications

Must Have:

• Currently has or is in the process of obtaining a PhD in Computer Science, Computer Vision, AI, or relevant technical field
• Must obtain work authorization in the country of employment at hire and maintain it during employment
• Experience with Python-based development and PyTorch
• Experience building systems based on machine learning and/or deep learning methods

Nice to Have:

• Intent to return to degree program after internship completion
• Proven track record with first-authored publications at leading conferences/workshops or grants/fellowships/patents
• Experience working and communicating cross-functionally in a team environment
• Experience advancing AI techniques with contributions to open source ML libraries/frameworks
• Publications or experience in ML, AI, computer vision, optimization, statistics, or data science
• Experience solving analytical problems using quantitative approaches
• Experience setting up ML experiments and analyzing results
• Experience manipulating and analyzing complex, large-scale, high-dimensional data
• Experience utilizing theoretical and empirical research to solve problems