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Computer Vision Engineer
Menlo Park, CA, US
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Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
We are looking for an experienced Computer Vision Software Engineer to join our Physical Modeling team. We are an interdisciplinary team addressing a variety of challenges at the intersection of the Physical Sciences and Computer Science. Our projects are highly cross-functional and we work closely with various internal partner teams.
Develop novel and accurate computer vision algorithms and systems related to physical world models, leveraging computer vision techniques and machine learning on big data resources.
Collaborate with interdisciplinary team members from the level of prototyping to the level of production.
Foster a positive, creative and collaborative environment, encouraging openness to support and try out new and unconventional ideas.
Conceive proof-of-concept prototypes that establish overall system performance.
Analyze and improve efficiency, scalability, and stability of various systems.
PhD in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field
3+ years of experience in building, leading and specializing in commercial computer vision projects from the level of researching a prototype to the level of production
Experience in C/C++ and Python
Experience with computer vision tasks such as classification, semantic segmentation, object detection, etc.
Experience with one or more deep learning frameworks such as PyTorch, TensorFlow, Caffe2
Software engineering experience with knowledge of the software lifecycle that includes: testing, version control and shipping high quality code
Experience in SfM, SLAM or 3D reconstruction
Experience communicating projects to both technical and non-technical audiences
Experience working on cross-functional teams and matrix organizations
Broad experience beyond computer vision and software engineering. For example: physical sciences, life sciences or electrical engineering
Experience with noisy measurement data and error analysis
Facebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at
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