Research Scientist Intern, AI Core Machine Learning (PhD)

Paris, France

Meta

Giving people the power to build community and bring the world closer together

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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.Research Scientist Intern, AI Core Machine Learning (PhD) 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.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
  • Publish research results and contribute to research that can be applied to Meta product development.
Minimum Qualifications
  • 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.
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.
  • Experience with Python and related languages.
  • Experience with deep learning frameworks such as Pytorch or Tensorflow.
Preferred Qualifications
  • Intent to return to a degree program after the completion of the internship.
  • Experience building systems based on machine learning and/or deep learning methods.
  • Participation in machine learning competitions (e.g. Kaggle).
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.


Equal Employment Opportunity and Affirmative Action Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
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Tags: Computer Science Deep Learning Generative AI Machine Learning Mathematics PhD Physics Python PyTorch Reinforcement Learning Research TensorFlow VR

Perks/benefits: Career development

Region: Europe
Country: France

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