Research Scientist, Generative AI (PhD)

Key Skills

Aartificial intelligence, Computer Vision (CV), Data science techniques, Generative AI, Large Language Models - LLMs, Natural Language Processing (NLP), NeurIPS, Python Programming, PyTorch, TensorFlow

Job Description

Research Scientist, Generative AI (PhD) Responsibilities

• Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.
• Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
• Work with a large and globally distributed team.
• Contribute to publications and open-sourcing efforts.
• Help identify long-term ambitious research goals as well as intermediate milestones.
• Prioritize research that can be applied to Meta's product development.
• Play a significant role in healthy cross-functional collaboration.

Minimum Qualifications

• Currently has, or is in the process of obtaining a PhD degree in Computer Science, Artificial Intelligence, Data Science, or related technical fields.
• Experience writing software and executing complex experiments involving large AI models and datasets.
• Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.
• Direct experience in generative AI and LLM research.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
• 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.

Preferred Qualifications

• 2+ years of work experience in a university or industry lab, in a role with primary emphasis on AI research.
• First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
• Experience in developing and debugging in Python.
• Experience working with PyTorch or TensorFlow.