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Research Scientist Intern, On-Device AI Model Optimization (PhD)
Meta
Reality Labs focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). Enabling compelling user experiences on Virtual and Augmented Reality devices requires innovation and co-design across all layers of stack from novel algorithms to custom silicon. The Meta AR/VR team is driving the state of the art forward with breakthrough work in computer vision, speech, virtual assistant, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body among many others.
We are seeking exceptional interns with a background in developing efficient models for AR/VR applications, including, but not limited to, computer vision, speech, sensor fusion, NLP, multi-modal AI. Our team focuses on developing state of the art models with tight constraints on memory and power and on model optimization techniques, e.g., sparsity, quantization, compression, network architecture search, tensor decomposition, etc. The ideal candidate will have practical experience in developing real time models that can achieve high accuracy under deployment constraints such as limited compute and memory resources.
In this position, you will get exposure to the full stack from user experiences, algorithms down to hardware execution blocks. You will work with the domain experts to understand the challenges and build state-of-the-art networks to tackle them and then work with the software/hardware team to deploy these solutions on-device.
Our internships are twelve (12) - sixteen (24) weeks long and we have various start dates throughout the year.
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