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Meta · 6 hours ago

AI Research Scientist, Computer Vision - Facebook Video Intelligence

Bellevue, WA

Full-time

Onsite

Senior Level

$122K/yr - $181K/yr

Meta is a technology company that builds tools to connect people and grow businesses. The AI Research Scientist, Computer Vision role involves developing advanced video generation and understanding models to enhance video content comprehension and create innovative AI-driven experiences.

Computer Software

Comp. & Benefits

Responsibilities

Build a variety of multimodal foundation models such as text-to-video generative models, image-to-video generative models, video understanding models, unified native video generative models

Design core foundation model architectures and progressive pre-train

Post-train foundation models using techniques such as Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), and Low-Rank Adaptation (LoRA)

Conduct research to develop SOTA GenAI models for the Facebook family of apps

Qualification

PhD in Computer ScienceMultimodal AI/ML modelsPython programmingPyTorch frameworkText-to-video modelsImage-to-video modelsVideo understanding modelsResearch publication experienceCollaboration skills

Required

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

PhD in Computer Science, Machine Learning, or a relevant technical field

Experience training multimodal, computer vision, LLM or related AI/ML models

Programming experience in Python and hands-on experience with frameworks such as PyTorch

Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred

First-authored publications at peer-reviewed conferences (e.g. ICLR, NeurIPS, ICML, KDD, CVPR, ICCV, ACL)

Experience collaborating in cross-functional teams, including product, engineering, and research

Experience building text-to-video generative models, image-to-video generative models, video understanding models, and/or unified native video generative models