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il y a 2 jours
**AI Research Scientist - Computer Vision and Machine Learning (Paris) Responsibilities**:
- Lead research on the next generation of self-supervised learning algorithms for training state-of-the-art visual representations.
- Conduct research towards long-term ambitious research goals while identifying intermediate milestones.
- Influence the 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
**Minimum Qualifications**:
- Ph.D. degree in Computer Science, Mathematics, or a similar quantitative field.
- First-author publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ECCV, ICCV, CVPR).
- Extensive experience with deep learning, neural network design, modeling, and large-scale optimization.
- Familiarity with pytorch, python, bash, and distributed computing.
- Ability to communicate complex research both in writing and orally for public audiences of peers.
**Preferred Qualifications**:
- High-impact publications at peer-reviewed AI conferences (e.g., NeurIPS, ICML, ICLR, ECCV, ICCV, CVPR), as witnessed by citations and other signs of influencing the research community.
- Experience in coordinating the research of Ph.D. students or other researchers.
**About Meta**: 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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