AI Research Scientist, VLLM (vision large language models)

Meta is seeking a Research Engineer to join our Llama Large Language Model (LLM) Research team.

This teams works with VLLMs; and leverages knowledge in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability.

We have an interest in producing and applying new science/systems/technologies to develop and responsibly release vision large language models.

Responsibilities:

AI Research Scientist, VLLM (vision large language models) - Generative AI Responsibilities:

Lead, collaborate, and execute on developing scalable and effective data curation, model development and eval systems that push forward the state of the art in multimodal reasoning and generation research.

Work towards long-term ambitious research/development goals, while identifying intermediate milestones.

Directly contribute to experiments, including designing experimental details, reusable code, running evaluations, and organizing results.

Mentor other team members. Play a significant role in healthy cross-functional collaboration.

Prioritize research and development that can be applied to Meta's product development.

Qualification and experience:

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

PhD in the field of Artificial Intelligence, Computer Vision, or a related technical field.

4+ years of Experience holding an industry, faculty, academic, or government researcher position.

Accepted Paper Contributions at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).

Knowledge of deep learning and neural networks.

Experience working with machine learning libraries like Pytorch.

Familiar with scripting languages such as Python and shell scripts.

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

Preferred:

Preferred Qualifications:

Industry research & development experiences in generative AI and LLM research.

Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

Fluent in Python and PyTorch (or equivalent).

First-Author publications & track record at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).