Technical Director Job at Cloud Analytics Technologies LLC, Princeton, NJ

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  • Cloud Analytics Technologies LLC
  • Princeton, NJ

Job Description

Job Description

Position: Technical Director - Computer Vision / Machine Learning
Location: Princeton, NJ


Job Description:

Summary:

This is a ground-level startup currently running on seed money from one of the same backers to Tesla.They will be going out for Series A in the spring.Their products hit all the hot buttons - computer vision, machine learning, IOT.They are looking for strong AI leaders to join in developing AI algorithms that run efficiently on edge devices.They are looking for experts with a proven background in deep learning, computer vision, compilers or signal processing.

Responsibilities:

  • This position will involve technical expertise and leading a small team working on our products and technology roadmap.
  • You will help develop algorithms, software and applications in areas such as autonomous vehicles, robotics, IOT, and consumer electronics.
  • You will work with a variety of customers and partners ranging from application developers to processor vendors.
  • The Technical Director / Technical Manager is a priority.
  • These are typically mid-career folks that are currently working but may be looking for transition.
  • There is a difference in level of expertise between director and manager, from my client's perspective.
  • At the director level, the candidate needs to have clear technical accomplishments and able to recruit new talent.
  • Experience in management would be important. For a manager level, this would be someone more hands on.
  • The Client is looking for someone who has ML/AI and computer vision expertise.

Qualifications:

  • Ph.D. Degree in Computer Science or Engineering.
  • 5+ years of software development experience in computer vision, machine learning, or related areas.

Desired skills:

  • Proven ability to work on collaborative software development.
  • Experience with OpenCV, Python, Matlab.
  • Experience using machine learning frameworks (Tensorflow, PyTorch, Keras).

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