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Salary
≈ $176k – $395k per year (Estimated)
Location
In office (Burlingame)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 27, 2026. Meta scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Meta Platforms is an American technology company founded in 2004 as Facebook and renamed in 2021 to signal its investment in immersive computing. It operates the largest family of social and messaging applications in the world, comprising Facebook, Instagram, WhatsApp, Messenger and Threads, and earns almost all of its revenue from advertising sold against that audience. Headquartered in Menlo Park, California, the company also develops the open Llama language models and the Reality Labs division behind Quest headsets and Ray-Ban smart glasses.
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.

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

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 field 2+ 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 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 at the time of hire, and maintain ongoing work authorization during employment 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

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