Research Scientist, Computer Vision (PhD)

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

About the Role

Meta is seeking a Research Scientist to advance computer vision and AI research in support of Meta's broader mission to build the next generation of intelligent systems. In this role, you will conduct original research in areas such as visual perception, 3D scene understanding, image and video recognition, and generative vision models. You will collaborate with a multidisciplinary team of researchers and engineers to translate research insights into scalable AI capabilities that power Meta's products and platforms.

Key Responsibilities

• Design and conduct original research in computer vision, including 3D reconstruction, scene understanding, and generative image or video modeling.
• Develop and train deep learning models using large-scale image and video datasets, iterating on architectures to improve accuracy, efficiency, and generalization.
• Implement and evaluate novel computer vision algorithms, benchmarking against state-of-the-art methods on standard and internally curated datasets.
• Contribute to the design and curation of training datasets and annotation pipelines for vision tasks.
• Translate research findings into production-ready prototypes in collaboration with engineering teams.
• Write and publish research results at leading computer vision and machine learning venues.
• Participate in code reviews and contribute to shared research codebases, maintaining code quality and reproducibility.
• Collaborate with cross-functional partners in product, engineering, and data science to align research directions with applied goals.
• Instrument experiments with appropriate logging and evaluation metrics to support data-driven decision making.
• Identify opportunities to improve existing vision systems and propose incremental or novel research directions.

Requirements & Tech Stack

• Experience in developing and training deep learning models using frameworks such as PyTorch.
• Experience implementing and evaluating computer vision algorithms and conducting rigorous experimental comparisons.
• Experience communicating research findings through publications, technical reports, or presentations to peers.

Qualifications

• Currently has, or is in the process of obtaining, a PhD in computer vision, machine learning, computer science, or a related field.
• 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.
• 2+ years of research experience in computer vision, including work on 3D reconstruction, SLAM, or related areas.
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.

Preferred Qualifications:

• Experience with large-scale vision-language models, self-supervised learning, or generative image and video modeling.
• Experience with 3D vision tasks including depth estimation, novel view synthesis, neural radiance fields, or multi-view reconstruction.
• Demonstrated software engineering experience through internships, open-source contributions, or research engineering roles.
• Proven track record of publications at leading computer vision or machine learning venues such as CVPR, ICCV, ECCV, NeurIPS, ICML, or SIGGRAPH.