Meta careers is hiring applications for Research Scientist Intern, Modern Recommendation Systems – Machine Learning(PhD) . Here is everything that you need to know about Meta careers !
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.
Research Scientist Intern, Modern Recommendation Systems – Machine Learning(PhD) Responsibilities
Help us apply cutting-edge algorithms to a wide range of media understanding challenges at Meta’s Family of Apps.
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, recommender systems, and graph learning.
Publish research results and contribute to research that can be applied to Facebook product development.
Collaborate with researchers and engineers across diverse disciplines.
Minimum Qualifications
Currently has, or is in the process of obtaining a PhD degree in Computer Science, Mathematics, Physics, or a related field
Experience in Python, PyTorch, C++, Java or other related language
Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches.
A strong interest in theoretical and empirical research and in answering hard questions with research.
ML/ AI research and/ or work experience in information retrieval problems, recommender systems, and/ or graph learning.
Ability to communicate complex research in a clear, precise, and actionable manner.
Experience creating and optimizing large-scale systems based on machine learning (deep learning) methods.
Intent to return to a degree-program after the completion of the internship/co-op.
Locations
How To Apply ?
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