Meta AI Research is looking to advance the field of generative AI by making fundamental advances in technologies to help interact with and understand our world. They are seeking individuals passionate in areas such as generative AI, deep learning, computer vision and natural language processing to make core algorithmic advances and apply their ideas at an unprecedented scale.
Requirements
- Experience in C, C++, Python, Java, or other related programming language
- Experience building systems based on machine learning and/or deep learning methods
- Experience with Generative AI, including diffusion models and LLM’s
- Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision
- Publications or experience in machine learning, AI, computer vision, optimization, computer science, statistics, applied mathematics, or data science
- Experience solving analytical problems using quantitative approaches
- Experience setting up ML experiments and analyze their results
Responsibilities
- Conduct research to advance the science and technology of generative AI.
- Perform research that enables learning the semantics of data (images, video, text, audio, and other modalities).
- Devise data-driven models of image generation and text generation.
- Publish research results and contribute to research that can be applied to Meta product development.
- Experience building systems based on machine learning and/or deep learning methods
- Experience with Generative AI, including diffusion models and LLM’s
- Background in advancing AI techniques in computer vision, including core contributions to open source libraries and frameworks in computer vision
Other
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Computer Vision, Artificial Intelligence, or relevant technical field
- Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment
- Intent to return to 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 publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, and ACL
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
