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Machine Learning Engineer

El Segundo, CA 90245

Posted: 10/07/2019 Employment Type: Direct Placement Category: Software Engineers Job Number: 83841

Job Description


Machine Learning Engineer  who can develop cutting edge Deep Learning technologies applied to pressing problems in the domain of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation.  You will have considerable responsibility, and your role will have direct impact on relevant issues facing the United States government customers.  Ideal candidates will have a strong background in Machine Learning (preferably Deep Neural Networks), and will need to be flexible in a small business environment.  Familiarity with radar sensing phenomenology and Open Source frameworks is a huge plus, as well as the ability to program in multiple languages (Python, Matlab, C/C++).
Applicant must be a US citizen.

Responsibilities:
  • Research, conceive, design, prototype and/or implement advanced Deep Neural Network Architectures as well as other relevant Machine Learning models
  • Apply deep learning algorithms to train neural networks for object detection and classification
  • Develop domain-aware pre-processing algorithms, and other methods to increase model generalization
  • Apply signal pre-processing techniques on SAR data
  • Create physics simulations of various phenomenologies and develop methods to account for bias between simulated and real-world data
  • Develop appropriate objective functions and sound performance assessment plans
  • Present work at meetings and conferences
  • Develop and deliver production-quality code (mainly Python)

 
Basic Qualifications:
  • Bachelor’ s degree in engineering, physics, mathematics, computer science, data science, or related technical field
  • Must be a U.S. citizen and be able to obtain a top secret security clearance as a condition of continued employment
  • Demonstrated mathematical problem solving ability and data analysis experience
  • Experience implementing machine learning, data mining, and statistical algorithms for pattern recognition and development of predictive models
  • Strong programming ability
  • Experience with signal and image processing
  • Experience with open source and other scientific software packages
  • Must be flexible and a self-starter
  • Demonstrated interpersonal communication, presentation skills, verbal and written communication skills

 
Preferred Qualifications:
  • Active US top secret clearance
  • Master’ s degree or PhD in engineering, physics, mathematics, computer science, data science, or related technical field
  • Experience with Synthetic Aperture Radar (SAR) data
  • Strong programming ability in Python, C/C++, and Matlab
  • Experience implementing Deep Learning techniques using Tensorflow and Keras
  • Experience delivering production-quality code
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