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

We are looking for recognized experts in generative AI and NLP, with experience in areas like:

• language model evaluation
• data processing for pretraining and fine-tuning
• responsible LLMs
• LLM alignment
• reinforcement learning for language model tuning
• efficient training and inference
• and/or multilingual and multimodal modeling

The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large language models.

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
• 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.

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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.

If you need any assistance or accommodations due to a disability, please let us know at [email protected].