AI Research Scientist, Computer Vision - Facebook Video Intelligence

The Video Intelligence team is an applied AI research team within the Facebook pillar. This role is expected 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.

Minimum Qualifications

* 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 Py Torch

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

Preferred Qualifications

* 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

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

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 Whats App 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.

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