- Develop state-of-the-art generative AI algorithms and data, to help more effectively align our LLMs during post-training stages.
- Improve the performance of our foundational Llama models, which have wide open source adoption.
- Based on the project, help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Disseminate research results.
- When applicable, contribute to research that can be applied to Meta product development.
- 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, ACL, EMNLP, CVPR, ICCV, ECCV, or similar.
- Experience working and communicating cross functionally in a team environment.
- Experience in advancing AI techniques, including core contributions to open source libraries and frameworks in computer vision.
- 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 training and aligning LLMs.
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