- Design, implement and analyze complex live systems that combine various machine learning techniques and connect state of the art generative models with neural renderers
- Collaborate with fellow staff members to develop research ideas, experiments, sensor prototypes, and processing pipelines to advance the SOTA in realistic telepresence
- Deliver readable, maintainable and scalable code in support of these activities
- Analyze and improve latency of large-scale machine learning models such as diffusion models or LLMs
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience with languages and frameworks such as Python, C++, and PyTorch.
- Familiarity with select topics related to realistic representations of human
- Understanding of the full machine vision pipeline from hardware to algorithms
- Demonstrated track record of publication in top conferences such as CVPR, ECCV, ICLR, NeurIPS, and SIGGRAPH
- Experience developing an end-to-end ML pipeline that includes data preprocessing, model development, deployment, and optimization
- Experience with generative models such as Large Language Models and Diffusion Models
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