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Meta · 1 day ago

Visiting Researcher, AI Mentorship Program - NYU (PhD)

New York, NY

Full-time

Onsite

New Grad

Meta is seeking Visiting Researchers to join Meta AI through a short-term contract. The role involves performing research to advance intelligent systems and collaborating with existing Meta research projects while pursuing a PhD in Computer Science at New York University.

Computer Software

Comp. & Benefits

Responsibilities

Perform research to advance the science and technology of intelligent systems

Perform research that improves computational understanding and representation of data

Devise data-driven models of human behavior

Influence progress of relevant research communities by producing publications

Collaborate and increase productivity on existing Meta research projects

Qualification

Machine LearningDeep LearningComputer VisionNatural Language ProcessingPythonPyTorchC++Research ExperienceCollaboration SkillsProblem Solving

Required

In the process of obtaining a PhD degree in Computer Science from New York University

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta

The primary academic advisor must be a tenure‑track or tenured faculty member at one of the universities mentioned above. Meta may, in its discretion, grant exception, where no potential conflict exists

Research experience in Computer Vision, Machine Learning, Natural Language Processing, Optimization, Speech, Safety & Alignment, Recommendation Systems, Large Language Models, RAG, Graph/Sequence learning, User/Content Understanding, or Distributed Training

Experience with Python, Lua, C++, C, C# and/or Java

Experience with deep learning frameworks such as PyTorch

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

Experience building systems based on machine learning and/or deep learning methods

Research and software engineer experience demonstrated via an internship, work experience, coding competitions, or open-source contributions

Proven track record of achieving significant results as demonstrated by publications at leading conferences or workshops such as ICML, NeurIPS, ICLR, CVPR, ICCV, EMNLP, ACL, or similar