AI Research Scientist, Computer Vision - Facebook Video Intelligence
Meta
AI Research Scientist, Computer Vision - Facebook Video Intelligence
Job Description
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.
Locations
- Bellevue, WA, USA
- Redmond, WA, USA
- Menlo Park, CA, USA
- Seattle, WA, USA
Salary
Estimated Salary Rangemedium confidence
15,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI researchintermediate
- video generationintermediate
- video understandingintermediate
- foundation modelsintermediate
- GenAI technologyintermediate
Required Qualifications
- 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 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 (experience)
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
Tags & Categories
AI Research Scientist, Computer Vision - Facebook Video Intelligence
Meta
AI Research Scientist, Computer Vision - Facebook Video Intelligence
Job Description
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.
Locations
- Bellevue, WA, USA
- Redmond, WA, USA
- Menlo Park, CA, USA
- Seattle, WA, USA
Salary
Estimated Salary Rangemedium confidence
15,000,000 - 45,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI researchintermediate
- video generationintermediate
- video understandingintermediate
- foundation modelsintermediate
- GenAI technologyintermediate
Required Qualifications
- 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 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 (experience)
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
Tags & Categories