Key Skills: opencv, computer vision, image processing, face recognition, linux, pattern recognition, Haar features, gabor

This is a wonderful opportunity for a Computer Engineer with an interest in the design and development of image processing techniques, machine learning methods and CV algorithms. The Computer Vision Enthusiast will enhance our existing and new products to make them stand out from competition and at the same time keeping them interesting and fun for end users.

Responsibilities include (but not limited to) -
- Build & strengthen features for social media applications.
- Optimizing complex and hard to compute Computer Vision algorithms and techniques to be utilized and embedded in light weight end user interfaces such as web browsers and cell phones.
- Collaborate in cross-functional, geographically distributed teams to develop system prototypes, integrating video/image analytics algorithms and software.
- Come up with new, innovative and creative ideas.
Responsible for developing new and interesting applications.

Requirements -
-Masters in Computer Science specializing in Computer Vision (or a related AI subfield.) Completed or is pursuing.
- Experience working with Haar features, Scale-invariant feature transform (SIFT) and Gabor features.
- We might require to submit a proof/official link of published research work related to using Computer Vision techniques to select features and extract information out of images.
- Familiarity with Facial action coding system (FACS) and gesture recognition.
- Experience with OpenCV and Linux
- Ability to characterize and optimize the computational complexity of algorithms.
- Fluency in communicating in English