Research Scientist, Computer Vision

Found in: beBee S CA - 3 weeks ago

Montreal, Canada Facebook Full time
Meta is seeking a Research Scientist to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Scientist on the Embodied AI team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, AR, and VR, and sharing this research with the world. You will be responsible for pushing the state of the art in dexterous robot manipulation, by developing novel representation learning algorithms to improve a robot's sense of touch.-------Meta est à la recherche d'un chercheur pour rejoindre l'organisation Fundamental AI Research (FAIR), une organisation de recherche visant à faire des progrès considérables dans le domaine de l'IA. En tant que chercheur au sein de l'équipe d'IA incarnée de FAIR, vous ferez partie d'un groupe innovant de chercheurs et d'ingénieurs travaillant sur des technologies d'IA de pointe pour la robotique, la réalité augmentée et la réalité virtuelle, et vous partagerez cette recherche avec le monde entier. Vous serez chargé de faire avancer l'état de l'art en matière de manipulation de robots habiles, en développant de nouveaux algorithmes d'apprentissage de la représentation pour améliorer le sens du toucher d'un robot.

Research Scientist, Computer Vision - Embodied AI (FAIR) | Chercheur en vision artificielle, IA incarnée (FAIR) Responsibilities:



  • Conduct research and develop state-of-the-art AI approaches for dexterous robot manipulation that leverages rich sensing capabilities on robot hands. | Mener des recherches et développer des approches d'IA de pointe pour la manipulation de robots habiles qui exploitent les riches capacités sensorielles des mains des robots.
  • Design and conduct experiments, analyze data, and document the findings in the form of technical reports and publications. | Concevoir et mener des expériences, analyser les données et documenter les résultats sous forme de rapports techniques et de publications.
  • Collaborate with the broader team of researchers on the project, and influence project direction based on your area of expertise and experimental findings. | Collaborer avec l'équipe élargie de chercheurs sur le projet et influencer l'orientation du projet en fonction de votre domaine d'expertise et des résultats expérimentaux.
  • Write high quality, readable code that can be used and built upon by team members and the research community when open sourced. | Rédiger un code de haute qualité, lisible, pouvant être utilisé et développé par les membres de l'équipe et la communauté des chercheurs lorsqu'il est en source ouverte.


Minimum Qualifications:



  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. | Licence en informatique, en génie informatique, dans un domaine technique pertinent, ou expérience pratique équivalente.
  • Currently has, or is in the process of obtaining a PhD degree in Computer Science, Robotics, Artificial Intelligence, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta. | Titulaire ou en cours d'obtention d'un doctorat en informatique, en robotique, en intelligence artificielle ou dans un domaine technique pertinent, ou expérience pratique équivalente. Le diplôme doit être obtenu avant de rejoindre Meta.
  • Experience with programming languages such as Python, C++, or similar. | Expérience des langages de programmation tels que Python, C++ ou similaires.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment. | Doit obtenir un permis de travail dans le pays où se trouve l'emploi à la date d'embauche et maintenir ce permis pendant la durée de l'emploi.


Preferred Qualifications:



  • 2+ year(s) of work experience in an industry, university, or government lab | Expérience professionnelle de plus de deux ans dans un laboratoire industriel, universitaire ou gouvernemental.
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), or Computer Vision (CVPR, ICCV, ECCV). | Expérience avérée dans l'obtention de résultats significatifs, démontrée par des subventions, des bourses, des brevets ou des publications dans des ateliers, des revues ou des conférences de premier plan dans le domaine de l'apprentissage automatique (NeurIPS, ICML, ICLR), de la robotique (ICRA, IROS, RSS, CoRL) ou de la vision artificielle (CVPR, ICCV, ECCV).
  • Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc. | Expérience des modèles d'apprentissage automatique et des cadres tels que PyTorch, TensorFlow, etc.
  • Experience with the following: representation learning, self-supervised learning, transfer learning, robotic manipulation, tactile sensing. | Expérience dans les domaines suivants : Apprentissage par représentation, apprentissage auto-supervisé, apprentissage par transfert, manipulation robotique, détection tactile.
  • Strong analytical and problem-solving skills. | Solides compétences en matière d'analyse et de résolution de problèmes.
  • Excellent communication and collaboration skills. | Excellentes compétences en matière de communication et de collaboration.

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