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Fundamental AI Research Scientist – AI Research Agents – Fair
| Company | Meta |
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| Location | New York, NY, USA |
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| Salary | $117000 – $173000 |
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| Type | Full-Time |
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| Degrees | Bachelor’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Currently has or is in the process of obtaining a PhD degree in the field of Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas.
- Research publications reflecting experience in theoretical or empirical research.
- Experience in developing and debugging in Python or similar programming languages.
- Experience in analyzing and collecting data from various sources.
- Must obtain work authorization in 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.
Responsibilities
- Perform research to advance the science and technology of intelligent machines.
- Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
- Work towards long-term ambitious research goals, while identifying immediate milestones.
- Influence progress of relevant research communities by producing publications.
- Open source high quality code and produce reproducible research.
Preferred Qualifications
- Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
- First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, and other similar venues.
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and varied points of view to determine a path forward.
- Experience collaborating in a team environment on research projects.
- Experience communicating research for public audiences of peers.
- Experience in the areas of Reinforcement Learning and Natural Language Processing.
- Experience working on agents that can reason or plan.
