Bachelor's degree in Computer science, Computer engineering, relevant technical field, or equivalent practical experience
A PhD in deep learning with applications to computer vision, NLP and model optimization
Understanding of modern ML concepts like LLMs, diffusion models, grounded vision-language models, Multimodal LLMs, model quantization
First author publications in top-tier conferences (NeurIPS, ICLR, ACL, ICML, CVPR...)
Fluency in Python and PyTorch
Desirables
Research experience via work experience and publications
Track record of achieving significant results via grants, fellowships, patents, or product releases
Top-tier publications on model architectures and model optimization
What the job involves
You will be driving the direction of research and developing novel techniques for building and optimizing highly efficient foundational models for on-device applications
Innovate on model compression and inference acceleration techniques for LLMs
Provide leadership to the engineering teams delivering Assistant experiences on AR and VR devices
Meta builds technologies that help people connect, find communities, and grow businesses. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.