We are looking for someone with strong skills in system design for computer vision, video analytics, core data science, or professional applied machine learning expertise. Hands-on experience and having an understanding of essential vision algorithms and neural networks is a must. Most importantly, the ability to work with video (not just images) and to build vision systems and pipelines from the ground up. The candidate should be fluent in C++ and Python and able to utilize off the shelf libraries and code as well as to alter and optimize them.
Experience with Caffe2 and/or TensorFlow are a must. Experience with OpenCV is desired assuming the candidate knows the library in depth (i.e. being simply familiar with OpenCV is not enough for this role - extensive experience is what is in view).
All positions are in mid or senior software engineering level for machine learning, computer vision and data science. Exceptional candidates that are in the entry level of their career may also be considered.
Ideal candidate profiles include:
1) Computer science / data science / video - image signal processing freshmen or graduated within last 2-4 years from a strong program with a personality that can afford rapid training.
2) Specialty in some field of vision (i.e. 3D, tracking, or video analytics) with either a graduate degree or undergraduate degree.
3) Any individual who is a true “hacker”, has a min of 2 years of deep coding experience, is language agnostic, good on system design and distributed systems (with or without degree).
Qualifications and Skills
Responsibilities and Duties
Keywords: Video analytics, video summarization, classification / categorization, vision, scene understanding, 3d reconstruction, tracking, feature engineering, surveillance analytics, Caffe, TensorFlow, adversarial data engineering
Job Type: Full-time
Salary: $100,000.00 to $160,000.00 /year