Meta
Publiée aujourd'hui · Paris
Research Scientist Intern, AI Core Machine Learning (MSc)
- Paris
- Stage
Outils et compétences cités dans l'annonce
Description du poste
We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, signal processing, information retrieval, and applied mathematics. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, AI Core Machine Learning (MSc) Responsibilities
- Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.
- Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
- Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.
- Devise better data-driven models for information retrieval, Multi-modal fusion, generation or media understanding (CV, NLP, Speech/ Audio).
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Contribute to research that can be applied to Meta product development.
Minimum Qualifications
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience with Python, C++, C, Java or other related language
- Experience with deep learning frameworks such as Pytorch or Tensorflow
- Experience building systems based on machine learning and/or deep learning methods
- Research experience with algorithms for sequential decision-making, e.g., planning, reinforcement learning, or similar
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Annonce publiée sur Indeed et reprise par Intelligence Academy. Seule l'annonce d'origine fait foi ; nous ne sommes pas l'employeur.
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