Research Scientist Intern, On-Device AI Model Optimization (PhD)

Job description

Reality Labs advances Meta's vision for virtual reality (VR) and augmented reality (AR). Delivering compelling experiences on AR/VR devices requires innovation and co-design across the full technology stack, from algorithms to custom silicon. Our teams push the state of the art in computer vision, speech, virtual assistants, machine learning, mixed reality, graphics, displays, sensors, and human body tracking. We are seeking interns with a background in developing efficient machine learning models for AR/VR applications, including computer vision, speech, sensor fusion, natural language processing (NLP), and multimodal AI. Our team develops high-performing models within tight compute, memory, and power constraints, using optimization techniques such as sparsity, quantization, compression, neural architecture search, and tensor decomposition. Ideal candidates will have practical experience building real-time models that maintain high accuracy under on-device deployment constraints. In this role, you will gain experience across the full stack, from user experiences and algorithms to hardware execution. You will collaborate with domain experts to understand application challenges and develop state-of-the-art neural networks to address them, then partner with software and hardware teams to deploy these solutions on-device. Our internships range from twelve (12) to twenty-four (24) weeks, with start dates throughout the year.