Research Scientist, Computer Vision; PhD

Position: Research Scientist, Computer Vision (PhD)
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 fast models that operate on real-time video. 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, from augmented and virtual reality experiences to large-scale content understanding systems.

Research Scientist, Computer Vision (PhD) 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 to the team

Minimum Qualifications:

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

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 Currently has, or is in the process of obtaining, a PhD in computer vision, machine learning, computer science, or a related field2+ years of research experience in computer vision, including work on 3D reconstruction, SLAM, or related areas

Experience in developing and training deep learning models using frameworks such as Py Torch 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 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

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 SIGGRAPHAbout Meta:

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 Whats App 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.

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual…