Senior Computer Vision and Machine Learning Engineer

NetGear   •  

New York, NY

Not Specified years

Posted 268 days ago

This job is no longer available.

Arlo has a dominant position on the home security camera market. With more than a third of market share on the US market, and millions of cameras deployed throughout the world, Arlo is in a unique position to build groundbreaking new intelligent capabilities for its smart home products, starting with cameras.

Responsibilities

  • Design models for achieving specific video or audio analytic goals 
  • Perform model training / algorithm development and optimization. 
  • Optimize and compromise for speed, size or accuracy
  • Select or develop algorithms for performing a variety of computer vision or audio related tasks
  • Create or modify software and tools for implementing your algorithms and models on a variety of hardware platforms
  • Work with a team of software and hardware engineers to productize the software and tools that you have developed
  • Work with product marketing teams to:
    •  help convey your analytics features in a compelling fashion
    • understand customer feedback and define new iterations of our features
    • define the next big thing(s) on the roadmap
    • Present and discuss your work with NETGEAR executives, board members, etc. 

Skills and Requirements 

  • MSc in Machine Learning or Computer Vision, PhD preferred
  • Experience in writing software in company, startup, or otherindustrial framework
  • Experience with deep learning frameworks such as Caffe, TensorFlow, or Torch 
  • Experience with OpenCV or DLIB
  • Familiarity with state of the art for computer vision. Deep knowledge of one of the following approaches: CNNs and deep learning, SVM, Bayesian Networks, boosting, feature based detection (SIFT/SURF family), object tracking, video analytics.
  • Strong fluency in C++, Python
  • Ability to work independently, in a SCRUM-like environment
  • You need to like code reviews, continuous integration, automated extensive testing, large and rich groundtruth sets.
  • A love for beautiful code 
  • Humility, respect, and a tremendous desire to learn.