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Research Scientist in AI Innovation
2 months ago
Meta is looking for a Postdoctoral Researcher to become part of the Fundamental AI Research (FAIR) team, a dedicated research unit aimed at achieving significant advancements in artificial intelligence. Candidates in this position will engage in pioneering research across various domains including artificial intelligence, machine learning, computational statistics, and applied mathematics. Key areas of focus will encompass deep learning, computer vision, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundational aspects of generative modeling, information theory, and the societal impacts of AI. The successful applicant will possess a strong desire to contribute to scientific knowledge that enhances our understanding of intelligence and technology in pursuit of sophisticated machine intelligence.
Key Responsibilities:
- Conduct research aimed at enhancing the science and technology of intelligent systems.
- Collaborate with supervisors and fellow researchers to formulate, develop, and execute research strategies.
- Engage in research that facilitates the understanding of data semantics across various modalities including images, video, text, and audio.
- Contribute to the advancement of relevant research communities through the production of high-quality scholarly publications.
- Share research code openly and ensure research reproducibility.
Minimum Qualifications:
- Currently holds or is in the process of completing a PhD in Computer Science or a related discipline. The degree must be finalized prior to joining Meta.
- Research experience in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, or similar fields.
- A proven track record of recent and consistent publications demonstrating expertise in theoretical and/or empirical research.
- Experience in resolving analytical challenges using quantitative and analytical methods.
- Must secure work authorization in the country of employment at the time of hire and maintain ongoing work authorization throughout employment.
- Currently holds or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or possesses equivalent practical experience. The degree must be completed prior to joining Meta.
Preferred Qualifications:
- First-authored publications in peer-reviewed conferences (e.g., ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar).
- Demonstrated research and engineering experience through grants, fellowships, patents, internships, work experience, and/or coding competitions.
- Ability to communicate research effectively to diverse audiences. Experience in cross-functional teamwork and communication.
- Proven experience in addressing complex problems and evaluating alternative solutions, trade-offs, and diverse perspectives to determine a course of action.