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Meta Research Scientist Intern, AI Core Machine Learning (PhD) in Paris, France

Summary:

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 an individual passionate in areas such as machine learning, generative AI, memorization, watermarking and multi-modality. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.Our internships are up to twenty-four (24) weeks long and we have various start dates throughout the year.

Required Skills:

Research Scientist Intern, AI Core Machine Learning (PhD) Responsibilities:

  1. Develop novel state-of-the-art machine learning algorithms and corresponding systems, leveraging various deep learning techniques.

  2. Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.

  3. Perform state of the art research to advance the science and technology of Machine Learning and Artificial Intelligence.

  4. Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

  5. Publish research results and contribute to research that can be applied to Meta product development.

Minimum Qualifications:

Minimum Qualifications:

  1. Currently has or is in the process of obtaining a PhD degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Reinforcement Learning, Mathematics, Signal Processing, or relevant technical field.

  2. Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

  3. Experience with Python and related languages.

  4. Experience with deep learning frameworks such as Pytorch or Tensorflow.

Preferred Qualifications:

Preferred Qualifications:

  1. Intent to return to a degree program after the completion of the internship.

  2. Experience building systems based on machine learning and/or deep learning methods.

  3. Participation in machine learning competitions (e.g. Kaggle).

Industry: Internet

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