Responsibilities

📍Research and develop novel computer vision models in Generative AI, with a focus on efficiency 📍Deliver models to production with collaboration across Meta's family of apps 📍Collaborate with other researchers and engineers across Meta to develop and deploy new models to production 📍Contribute to research publications and publish at top-tier venues

Minimum Qualifications

📍A PhD in Computer Vision or a relevant technical field 📍Understanding of modern computer vision concepts like diffusion models, GANs, and LLMs 📍First author publications in top-tier computer vision venues (CVPR, NeurIPS, ECCV, ICCV, SIGGRAPH, ICML...) 📍Fluency in Python and PyTorch

Preferred Qualifications

📍Demonstrated research experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub) 📍Industry experience deploying computer vision models to production 📍Experience with optimizing model architectures and algorithms for CPU/GPU, mobile, and other types of specialized hardware 📍Top-tier publications in Generative AI topics (diffusion models, LLMs...)