AI Research Scientist, Intern – FAIR Labs, Brain and AI (MSc, PhD)

Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. Meta is seeking Research Interns to join Fundamental AI Research (FAIR). 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 machine learning, and systems and infrastructures that enable and advance AI technologies. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Many of our interns publish at top tier conferences such as NeurIPS and ICML.The mission of Meta FAIR’s Brain and AI is to interface neuroscience and artificial intelligence, to both better understand how the brain functions in light of state-of-the-art AI models and to improve AI in light of neuroscientific principles. We explore, design, and build AI systems at scale to enable next-generation AI technologies.This is a 2023 internship opportunity with a minimum 12 week duration. We have start dates throughout the year from May to September. Applicants are expected to be pursuing a PhD or MSc (or equivalent) one of the areas listed above.To learn more about our research visit https://research.facebook.com.

AI Research Scientist, Intern – FAIR Labs, Brain and AI (MSc, PhD) Responsibilities:

• Perform research to advance the science and technology of intelligent machines
• Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities)
• Devise better data-driven models of AI system design and optimization
• Contribute research that leads to innovations in:
• Scalable machine learning systems,
• Resource-efficient AI data and algorithm scaling and neural network architectures,
• Memory and/or energy-efficient AI systems,
• Environmentally-sustainable AI system and hardware designs,
• AI-driven compiler, programming language, system design and optimization,
• System design for privacy-enhancing AI technologies,

Minimum Qualifications:

• Currently has, or is in the process of obtaining, a degree (PhD or Masters with relevant research experience) in Computer Science and/or Neuroscience or related fields
• Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Experience solving analytical problems using quantitative approaches
• Ability to manipulate and analyze complex, large scale, high-dimensionality data from varying sources
• Experience in utilizing theoretical and empirical research to solve problems
• Ability to communicate complex research in a clear, precise, and actionable manner
• Knowledge in Python
• Experience building systems based on machine learning and/or deep learning methods
• Intent to return to degree-program after the completion of the internship/co-op

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