> Markdown version of [/jobs/ext/3919874-computer-vision-engineer](https://www.wearedevelopers.com/jobs/ext/3919874-computer-vision-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Computer Vision Engineer - **Company:** The Meta Game, Inc. - **Location:** Sunnyvale, CA, United States - **Experience:** Experienced - **Salary:** $121,992.0 - $181,000.0 - **Contract:** Permanent contract - **Skills:** 3D Scanning, 3D Computer Graphics Software, Artificial Intelligence, Data Analysis, Computer Vision, Automation of Tests, C++ (Programming Language), Software Quality, Computer Engineering, Computer Graphics, Information Lifecycle Management, Python (Programming Language), Machine Learning, State Estimation, Sensor Fusion, Management of Software Versions, Generative AI, HLSL, Information Technology, Ray Tracing, Pose Estimation - **Published:** October 26, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3467491573&tx=FL636FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role 1. 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. Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience 3. 2+ years of experience in developing and designing Computer Vision and Perception algorithms for robotics technologies and systems 4. Experience in C++ or Python development 5. 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 6. 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 7. 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 8. 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 9. 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, 1. M.S. or Ph.D. degree in Computer Science, Computer Vision, Computer Graphics, Robotics, or a related technical field 2. Industry experience working on projects such as: applying AI/generative models, Sensor Fusion, 3D reconstruction, Camera Pose Estimation, and Structure from Motion ## Description techniques for solving challenges that bridge virtual and real worlds and will impact billions of people. We're addressing a variety of technical challenges in the areas of real-time image processing, 3D graphics, SLAM, scene reconstruction, machine perception, visualization, and human interaction., 1. Design and develop novel calibration algorithms for sensors and displays 2. Design and prototype automation for calibration in collaboration with mechanical engineers and prototyping technicians 3. Collaborate with cross-functional engineering and research teams from Meta Reality Labs in computer vision, machine learning, graphics, optics, camera hardware, manufacturing, and others 4. Define projects for other engineers to achieve an impact based on your direction 5. Contribute to engineering best practices: code quality, AI-assisted engineering, and technical culture within your team