Research Scientist, Computer Vision (PhD)

Meta•Burlingame, CA

9d•$154,000 - $217,000

About The Position

Meta is seeking a Research Scientist to advance computer vision and AI research in support of its mission to build the next generation of intelligent systems. The role conducts original research in areas including visual perception, 3D scene understanding, image and video recognition, and fast models for real-time video. The scientist works with multidisciplinary researchers and engineers to turn research insights into scalable AI capabilities for Meta products and platforms, including augmented and virtual reality experiences and large-scale content understanding systems.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience; the degree must be completed before joining Meta.
Currently has or is in the process of obtaining a PhD in computer vision, machine learning, computer science, or a related field.
At least 2 years of research experience in computer vision, including work on 3D reconstruction, SLAM, or related areas.
Experience 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.
Must obtain work authorization in the country of employment by the time of hire and maintain ongoing work authorization during employment.

Nice To Haves

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

Responsibilities

Design and conduct original computer vision research, 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 them 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 to the team.