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במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
מלאה
The Reality Labs team is looking for Lead Computer Vision Engineers to support our engineering teams as we build towards our goal of helping more people around the world come together and connect through world-class Augmented, Mixed and Virtual Reality and on-the-go hardware and software. With global departments dedicated to AR, MR, and AI research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR, MR and AI potential to change the world is immense -- and we're just getting started.
Computer Vision Engineer (Leadership) 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, location and SLAM, a3D stereo and volumetric reconstruction
Play a critical role in the definition and execution of long-term roadmaps in partnership and cross functional organizations in computer vision, machine learning, AI, graphics, sensors, optics, and silicon
Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production
Develop prototypes for future VR/AR/MR/AI experiences, drive continued development, and integrate robust solutions into products
Be a go-to person to escalate the most complex online / production performance and evaluation issues that require an in depth knowledge
Participate in cutting edge research in computer vision that can be applied to AR/VR product development
Define projects for other engineers to possibly solve and achieve impact based on your direction
Computer Vision Engineer (Leadership) 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, location and SLAM, a3D stereo and volumetric reconstruction
Play a critical role in the definition and execution of long-term roadmaps in partnership and cross functional organizations in computer vision, machine learning, AI, graphics, sensors, optics, and silicon
Lead and collaborate with multidisciplinary engineering and research teams to develop technologies from early exploration and incubation to production
Develop prototypes for future VR/AR/MR/AI experiences, drive continued development, and integrate robust solutions into products
Be a go-to person to escalate the most complex online / production performance and evaluation issues that require an in depth knowledge
Participate in cutting edge research in computer vision that can be applied to AR/VR product development
Define projects for other engineers to possibly solve and achieve impact based on your direction
Requirements:
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
MSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field
Experience in driving large cross-functional/industry-wide engineering efforts
Experience in mentoring/influencing lead engineers across organizations
Experience communicating and working across functions to drive solutions
Preferred Qualifications:
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, and/or 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
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
MSc degree in Computer Science, Computer Vision, Machine Learning, or related technical field
Experience in driving large cross-functional/industry-wide engineering efforts
Experience in mentoring/influencing lead engineers across organizations
Experience communicating and working across functions to drive solutions
Preferred Qualifications:
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, and/or 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
This position is open to all candidates.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
ערב
4 חודשים
תל אביב - יפו
