Research Scientist, NLP, GenAI (PhD)
Job Summary
Job Description
- PhD in Computer Science, Mathematics, or similar quantitative field
- First-author publications at peer-reviewed AI conferences
- Experience in training, fine-tuning, and/or experimenting with foundation models
- Familiarity with deep learning frameworks
- Ability to communicate complex research
- Work authorization in the country of employment
- High-impact publications at peer-reviewed AI conferences
- Experience in AI research beyond completing a PhD
- 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 solving complex problems
- Experience working and communicating cross functionally in a team environment
7 skills required
Job Details
- Conduct research that extends the capabilities of foundation models through model fine-tuning
- 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.
- Lead and collaborate on research projects within a globally based team.
- Currently has or is in the process of obtaining a PhD in the field of Computer Science, Mathematics, or similar quantitative field.
- First-author publications at peer-reviewed AI 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, …)
- Ability to communicate complex research both in writing and orally for public audiences of peers.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
- High-impact publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR), as witnessed by citations and other signs of influencing the research community.
- Experience in AI research beyond completing a PhD.
- 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 solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
- Experience working and communicating cross functionally in a team environment.
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About The Company
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.
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