Computer Vision Engineer Responsibilities:
Lead the design and development of novel computer vision and/or machine learning algorithms in areas such as real-time scene and object tracking, reconstruction and understanding, segmentation, face tracking, body tracking, key point estimation, depth sensing, generative approaches such as GANs, 3D stereo and volumetric reconstruction, avatars, reconstructions, and virtual try-ons.
Play a critical role in the definition and execution of long-term roadmaps in partnership with cross-functional organizations in computer vision, machine learning, graphics, sensors, optics, and silicon.
Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production.
Be a go-to person to escalate the most complex online/production performance and evaluation issues that require in-depth knowledge.
Develop prototypes for future VR/AR/MR experiences, drive continued development, and integrate robust solutions into products.
Participate in cutting-edge research in computer vision that can be applied to AR/VR product development.
Define projects for other engineers to solve and achieve impact based on your direction.
Minimum Qualifications:
Prototyping and engineering experience in at least ONE relevant specialization area in either Computer Vision or Machine Learning: SLAM, State Estimation, Sensor Fusion, Generative models such as GANs, Pose estimation (Body, Facial, Hand, or Eye Tracking), Dense 3D reconstruction, Object detection, segmentation and tracking, Scene understanding/Semantic Segmentation, Photorealistic rendering, Factory, HW, Camera or Online Calibration.
5+ years experience engineering in C++ and/or Python.
5+ years experience developing and designing Computer Vision and/or Machine Learning technologies and systems.
BSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field.
Preferred Qualifications:
MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics, or related technical field.
Industry experience working on projects such as real-time SLAM and 3D reconstruction, sensor fusion and active depth sensing, object and body tracking and pose estimation, image processing, image and/or semantic segmentation, 2D and 3D key point estimation and surface reconstruction, depth estimation, generative methods such as GANs, or photorealistic rendering.
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