AI Research Scientist
il y a 4 semaines
Meta is on the lookout for a Research Scientist to be part of the Fundamental AI Research (FAIR) initiative, a pioneering organization dedicated to advancing the field of artificial intelligence. This role is positioned within the Flow World Models team, where the focus is on developing innovative algorithms and theoretical frameworks for generative models. The applications of this research span across various domains including image and video processing, text and code generation, as well as multimodal data synthesis.
Responsibilities of the AI Research Scientist - FAIR:- Conduct research aimed at enhancing the science and technology of intelligent systems.
- Engage in both theoretical and empirical studies to create novel methodologies and functionalities for flow generative models.
- Analyze and work with diverse data types such as images, videos, text, 3D representations, and graphs.
- Strive towards ambitious long-term research objectives while setting immediate, achievable milestones.
- Contribute to the advancement of relevant research communities through scholarly publications.
- Develop and share high-quality open-source code, ensuring reproducibility of research findings.
- A PhD in artificial intelligence, computer science, applied mathematics, or related technical disciplines.
- Proven experience in an industry, postdoctoral, faculty, or governmental research position.
- A strong research background in machine learning, artificial intelligence, computational statistics, or applied mathematics.
- A portfolio of research publications demonstrating expertise in theoretical or empirical research.
- Eligibility to obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization throughout employment.
- Demonstrated research and engineering experience through publications, grants, fellowships, patents, internships, or open-source contributions.
- First-authored publications in peer-reviewed conferences such as NeuRIPS, ICML, ICLR, CVPR, SIGGRAPH, and similar venues.
- Experience in tackling complex problems and evaluating various solutions, trade-offs, and perspectives.
- Collaborative experience in a team-oriented research environment.
- Ability to effectively communicate research findings to diverse audiences.
Meta is committed to building technologies that foster connections, cultivate communities, and support business growth. Since the launch of Facebook in 2004, we have transformed the way individuals connect. Our applications, including Messenger, Instagram, and WhatsApp, empower billions globally. As we evolve beyond traditional screens into immersive experiences like augmented and virtual reality, we aim to redefine social technology. Those who choose to build their careers with us at Meta are shaping a future that transcends the limitations of digital connection, distance, and even the laws of physics. Compensation is determined by skills, qualifications, experience, and location, and includes additional benefits. Discover more about the benefits offered at Meta.
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