Note: The job is a remote job and is open to candidates in USA. Meta is a technology company that builds platforms to connect people and foster communities. The AI Research Scientist, Computer Vision role focuses on developing advanced video generation and understanding models to enhance AI-driven video creation experiences and improve comprehension of video content.
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
Skills
- 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
- 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
Benefits
Company Overview
Meta's mission is to build the future of human connection and the technology that makes it possible. It was founded in 2004, and is headquartered in Menlo Park, CA, US, with a workforce of 10001+ employees. Its website is https://www.metacareers.com/.
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