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Meta · 12 hours ago

AI Research Scientist, Computer Vision - Facebook Video Intelligence

Menlo Park, CA

Full-time

Onsite

Entry, Mid Level

$154K/yr - $217K/yr

1+ years exp

Meta is a technology company that builds platforms to connect people and foster communities. They are seeking an AI Research Scientist in Computer Vision to develop advanced video generation and understanding models, enabling innovative AI-driven video experiences. The role involves building multimodal foundation models and collaborating with product and infrastructure teams.

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

Collaborate with colleagues from the infrastructure and product teams on launching models

Qualification

Computer VisionMachine LearningPythonPyTorchMultimodal ModelsTechnical Project ManagementResearch PublicationsGenerative ModelsCross-functional Collaboration

Required

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

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

1+ year of industry experience training multimodal, computer vision, LLM or related AI/ML models

Experience owning and/or driving complex technical projects from end-to-end

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

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