Fundamental AI Research Scientist - FAIR
New York, NY
- 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.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- A PhD in AI, computer science, data science, or related technical fields.
- Experience holding an industry, postdoctoral, faculty, or government researcher position.
- Research background in machine learning, artificial intelligence, computational statistics, or applied mathematics, or related areas.
- Research publications reflecting experience in theoretical or empirical research.
- 2+ years of Experience holding an industry, faculty, or government researcher position.
- Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, and / or coding competitions.
- First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, ACL, EMNLP, CVPR, FacCT, CCS, IEEE S&P, and other similar venues.
- Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view.
- Experience collaborating in a team environment on research projects.
- Experience communicating research findings to public audiences of peers.
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.
Tags: Computer Science Deep Learning EMNLP Engineering Generative modeling ICLR ICML Linguistics Machine intelligence Machine Learning Mathematics NeurIPS Open Source PhD Physics Reinforcement Learning Research Statistics VR
Perks/benefits: Career development Conferences Equity / stock options Health care Salary bonus
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