Senior/Staff/Principal Researcher - Computer Vision, Deep Learning, and VR

OPPO US Research Center
Seattle, WA
Closing date
Jun 28, 2022

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Organization Type
Job Description
OPPO US Research Center (Seattle) is seeking self-motivated Research Scientists at various levels to support the research team on projects focused on 2D/3D Computer Vision, Deep Learning, Virtual Reality and Avatar. We are devoted to developing cutting-edge technologies with positive impacts on everyday lives. We are seeking candidates at various levels (Senior/Staff/Principal/Research Scientists) to join our team. We will provide competitive compensations for successful candidates. The Seattle Research Center is directed by an IEEE Fellow and ACM Distinguished Scientist.


Perform research and development in the related projects on 2D/3D Computer Vision, Deep Learning, Virtual Reality and Avatar to enable understanding, reconstruction and rendering of real/virtual world. The successful candidates will be in charge of developing novel deep learning, computer vision and rendering algorithms including but not limited to the following areas:

1. 3D scene modeling, reconstruction, and localization (e.g., visual odometry, SLAM, structure from motion), structure from motion, and multi-view geometry;

2. Neural rendering and generative models;

3. 3D face/pose reconstruction/synthesis, gaze detection, and lip movement synthesis for virtual avatars;

4. Deep learning for processing and analyzing images, videos and multimodal data;

5. Deep network compression and pruning for end devices;

6. Deep image/video/text content generation and editing;

7. Other related areas.


Minimum Qualifications:

Working towards a research-oriented graduate (Master or PhD) degree in Computer Science, Electrical Engineering, or related field.

Motivated to conduct research in 2D/3D computer vision, deep learning, and virtual reality/avatars;

Experience with Python and/or C++, to implement the algorithms.

Solid linear algebra, probabilistic and geometry knowledge.

Hands-on experience on at least one of the following areas: computer vision, deep learning, SLAM, computer graphics, generative models, structure from motion, multi-view geometry, ray tracing, surface and texture mapping.

Preferred Qualifications:

Pursuing a Ph.D. degree in Computer Science, Electrical Engineering, Robotics, or related field (highly preferred), or

Experience with Unity/Unreal simulation game engines, or

Hands on experience on developing in AR/VR equipment such as Hololens, Oculus Quest, or

Hands on experience on at least one of the following sensors: depth/stereo camera, Lidar, Inertial Measurement Unit (IMU), or

Publications in peer reviewed venues such as CoRL, CVPR, ICCV, ICML, NeurIPS, ICRA, IROS, RSS and related journals

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