AI Research Scientist, Computer Vision - Facebook Video Intelligence

Meta Platforms, Inc.•Menlo Park, CA

28d

About The Position

The Video Intelligence team is an applied AI research team within the Facebook pillar. This role is expected is to develop advanced video generation and understanding foundation models, enabling innovative AI-driven video creation experiences and enhancing our ability to comprehend video content. The team is responsible for building state-of-the-art GenAI technology to empower video generation and understanding. About Meta Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Equal Employment Opportunity Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

Requirements

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

Nice To Haves

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

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

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