Research Scientist Intern, MSL Infra
Description
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.
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.
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 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
Compensation: $7,650/month to $12,134/month + benefits