Computer Vision Engineer
Meta· Reality Labs / Extended Reality Technology
Sunnyvale, CA$122k - $181kFull-timePosted 1mo ago
About the role
Researching and applying software, computer vision, and robotic learning techniques to bridge virtual and real worlds across Meta’s VR/AR products, focusing on real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualization, and human interaction.
Responsibilities
- Design and develop novel calibration algorithms for sensors and displays
- Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians
- Collaborate with cross-functional engineering and research teams from Meta Reality Labs in computer vision, machine learning, graphics, optics, camera hardware, manufacturing, and others
- Define projects for other engineers to achieve an impact based on your direction
- Contribute to engineering best practices: code quality, AI-assisted engineering, and technical culture within your team
Qualifications
- 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
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience
- 2+ years of experience in developing and designing Computer Vision and Perception algorithms for robotics technologies and systems
- Experience in C++ or Python development
- Prototyping and engineering experience in at least one relevant specialization area in Computer Vision or Perception for Robotics: Camera Calibration, Online Calibration, State Estimation, Sensor Fusion, 3D Reconstruction, Camera Pose Estimation, Structure-from-Motion
- Experience applying AI/generative models in practice — coding assistants and agentic tooling for productivity, automated QA, image and video generation, and AI-assisted annotation and labeling
- Experience with computer graphics or rendering pipelines (e.g., real-time or offline rendering, ray tracing, shaders, physically-based rendering, 3D scene/asset authoring in engines such as Unreal, Unity, or Blender), including generating and leveraging synthetic data for training and evaluating perception models
- Experience building, training, and evaluating machine learning models — including designing data recipes, defining training/eval splits, running experiments, and iterating on model architecture and hyperparameters
- Experience with the data lifecycle for model training at scale: sourcing, curation, annotation and QA, augmentation, dataset versioning, and analyzing data distribution/domain gaps to target coverage improvements
Skills
Required:CalibrationC++PythonComputer Vision / PerceptionMachine Learning / DL
Nice to have:Rendering / Graphics
Benefits
- Bonus
- Equity
- Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.
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