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Deep Learning Engineer

Industry: Software
Remote
Company size: 1-10
Full-time/Part-time

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Job description

A fast-growing company committed to revolutionizing security while lowering expenses is looking for a Deep Learning and Computer Vision Engineer. The engineer will be responsible for model optimization for embedded hardware or increased model parallelization on servers. The company's excellent artificial intelligence and robotics-powered security solutions aid in the prevention and protection of persons and property from violence and crime. Developers will have the opportunity to hone their abilities and work in a fast-paced atmosphere.

 

Job Responsibilities:

  • Implement and deploy an object detection framework utilizing TensorRT, TensorFlow, PyTorch, and other tools
  • Create people tracking across thousands of cameras
  • Detect unexpected object additions or removals from an environment
  • Create an activity categorization and anomaly detection system for a given scenario
  • Detect and count the frequency of objects and individuals
  • Take charge of a wide range of systems and see projects through to completion

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a software engineer
  • Knowledge of TensorFlow, Keras, Caffe, or similar frameworks
  • Understanding of computer vision and machine learning
  • Experience with state-of-the-art CV/ML models and tools
  • Experience leading a team and driving technical directions
  • Knowledge of Python and/or C++ 
  • 2+ years of experience as an engineering manager is nice to have
  • Strong written and verbal communications
  • Proficiency in English

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We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

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