Job Information
Meta AI Research Scientist, VLLM (vision large language models) - Generative AI in London, United Kingdom
Summary:
Meta is seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.
Required Skills:
AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities:
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Contribute to publications and open-sourcing efforts.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research that can be applied to Meta's product development.
Minimum Qualifications:
Minimum Qualifications:
A PhD in AI, computer science, or related technical fields.
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Experience holding an industry, faculty, or government researcher position.
Publications in machine learning, computer vision, NLP, speech
Experience writing software and executing complex experiments involving large AI models and datasets.
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
Preferred Qualifications:
Direct experience in generative AI and LLM research.
First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
Fluent in Python and PyTorch (or equivalent)
Industry: Internet