Meta is seeking a Research Scientist to join our Media Foundation Modeling team in advancing the state-of-the-art of image and video foundation models. The ideal candidate will have an interest in producing and applying new science to help us develop and define the future of content creation, productivity and social media.
Research Scientist, Computer Vision for Generative AI Responsibilities:
- Lead, collaborate, and execute on research that pushes forward the state of the art in media generation research.
- Work with researchers to develop input architectures that combine vision and language.
- Design and prototype interactive experiences and evaluate them through user research.
- Design and prototype data collection systems to accelerate machine learning.
- Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).
- Prioritize research that can be applied to Meta's product development.
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- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- PhD in the field of Computer Science, Artificial Intelligence, or a related field.
- 3+ year experience in AI
- Publications in areas of machine learning and computer vision
- Experience in developing interactive solutions for computer vision, NLP, or computer graphics.
- Experience working with PyTorch or TensorFlow.
- Experience with sequence modeling, domain adaptation or representation disentanglement.
- Experience designing data collection protocols and quality control.
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
- First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
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.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.