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.

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:

• 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:

• 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)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.





Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.