1639 Talent manager Jobs

Meta is seeking Research Scientists to join its Fundamental AI Research (FAIR) organization, focused on making significant advances in AI. We publish groundbreaking papers and release frameworks/libraries that are widely used in the open-source community. Recent examples include the LLaMa family of Large Language Models (LLMs), new multimodal LM architectures, and new methods for alignment and reasoning in social settings. We also collaborate with the Meta Generative AI and other organizations to bring the latest research findings to production.We are currently seeking talented researchers with experience in NLP to work with us on extending the capabilities of multimodal (vision+language) modeling and/or social reasoning. Researchers will drive impact by: (1) publishing state-of-the-art research papers, (2) open sourcing high quality code and reproducible results for the community, and (3) bringing the latest research to Meta products for connecting billions of users. You will work with a diverse and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

Research Scientist, Fundamental AI - NLP (PhD) Responsibilities:

• Pursue research in multimodal language models and/or social interactions.
• Work towards long-term ambitious research goals, while identifying intermediate milestones.
• Influence progress of relevant research communities by producing publications.
• Contribute research that can be applied to Meta product development.
• Collaborate on research projects within a globally based team.

Minimum Qualifications:

• 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.
• Currently has, or is in the process of obtaining, a PhD in the field of NLP and or Machine Learning.
• First-author publications at peer-reviewed NLP conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR).
• Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use.
• Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …)
• Experience with communicating complex research for a public audiences of peers.
• Knowledge in a programming language.

Preferred Qualifications:

• High-impact publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR), as evidenced by citations and other signs of influencing the research community.
• 1+ years of experience holding an industry, faculty, or government researcher position.
• Experience in developing and debugging beyond ML experimentation.
• Experience in working in an industry research environment.
• Experience in coordinating the research of PhD students or other researchers.
• Experience in first person egocentric video, joint video language learning, LLMs or HCI.

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.