|Title: Applied Computer Vision Engineer||Posted: February 9, 2018|
|Company/Institution: DreamVu Inc|
|Location: Mountain View, California|
|Department: Computer Vision|
Description: We are looking for research engineers who can extend and develop algorithms for our camera. You will get
an hands on experience by doing research and rapid prototyping using a combination of state-of-the-art
computer vision algorithms. You will be required to perform experimentations and also get to publish in top
tier conferences. You will develop the proof-of-concept algorithms and hand-off to engineering. Areas of
computer vision work may include innovations in SLAM, 3D scene understanding, situational awareness etc.
Duties & Responsibilities:
-Includes development, writing code and documenting the functionality.
-Understanding different architectures and able to develop applications.
-Implement and enhance processing pipeline and software architecture that allows optimal performance and
flexibility for experimentation.
-Collecting datasets for in-depth understanding of problems.
-Leverage state of the art tools (OpenCV, TensorFlow) to prototype fast and early.
Required Skills & Experience:
-Background in computer vision, Machine learning, Deep learning.
-Experience in researching, developing, and implementing novel computer vision algorithms from scratch.
-Image processing experience, including colour correction, lens distortion, color segmentation, image
-C++ development skills. OpenCV, MATLAB required.
-Strong collaboration skills.
-Capable of designing integrations of and tuning computer vision algorithms.
-Able to construct, train, evaluate and tune neural networks.
-Experience with motion detection and tracking of people, faces, objects or vehicles.
Desired Skills & Experience / Bonus Points:
-Experience in depth estimation, 3D reconstruction, multi-view geometry, calibration, and optical flow.
-Practical understanding and experience with machine vision neural networks (image recognition & object
-Multi-camera system calibration.
-Intrinsic image decomposition. Scene and object classification.
-Camera and/or video pipeline knowledge and experience.
-Photography skills is a plus.
-Holding MS or PhD degree with a focus in computer vision or related fields.
-Publications in Computer Vision Conferences.
Application Instructions: Interested candidates can send their updated resume and portfolio to email@example.com