Research Scientist Intern, MSL

Meta is seeking Research Interns to join our Generative AI efforts. 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 generative modeling, deep learning, reinforcement learning, natural language processing, machine learning, 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 sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Minimum Qualifications

* Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, 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, C++, C, Java or other related languages

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

Preferred Qualifications

* Intent to return to the degree program after the completion of the internship/co-op

* Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL or similar

* Experience with reinforcement learning, and training agents

* Experience working and communicating cross functionally in a team environment

* Experience in advancing AI techniques, including core contributions to open source libraries

* Experience solving analytical problems using quantitative approaches

* Experience setting up ML experiments and analyzing their results

* Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

* Experience in utilizing theoretical and empirical research to solve problems

* Experience with deep learning frameworks

Responsibilities

* Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques. Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.

* Perform research to advance the science and technology of intelligent machines.

* Perform research that enables learning the semantics of and training generative models of data

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

* Disseminate research results.

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 Whats App 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

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You may view our Equal Employment Opportunity notice here.

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