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Computer Vision and Machine Learning Engineer/Scientist -- EOSL

Submit Resume ID: 496276
Type: Researchers
Location: Atlanta, GA
Categories: Algorithm Development, Machine Learning

Job Description

The Computer Vision and Machine Learning Engineer/Scientist in the Opto-Analysis, Algorithms, and Software (OAAS) Branch will provide computer vision, artificial intelligence, and machine learning expertise to develop algorithms for advanced Electro-Optical (EO)/Infrared (IR) sensing and autonomy applications to meet customer requirements and internal research goals. The job provides opportunities to develop advanced technology and publish research in the areas of Intelligence, Surveillance, Target Acquisition, and Reconnaissance (ISTAR) sensor systems in both passive and active sensing modalities. Our team designs, builds, and tests the hardware in the entire imaging chain. Key technical areas include Hyperspectral and Multispectral Imaging Processing; EO System and Component Analysis and Characterization; Optical Imaging and Tagging; and Airborne Lidar System Design, Construction, and Operation for real-time topography, FOPEN, and bathymetry.

Job Duties:

  • Contribute to key technical efforts in the analysis, construction, and design of optical systems for remote sensing applications
  • Document work in memoranda, sponsor briefs, conference proceedings, and journal articles. Brief senior leadership and sponsors as required
  • Support field integration, data collection, and other testing activities at test sites and facilities
  • Participate in new business development efforts by contributing to white papers, Request for Information (RFI)/Request for Proposal (RFP) responses, and sponsor briefs, and by proposing new research areas suitable for internal research and development (IR&D) funding
  • Perform other duties as assigned

Travel Requirements

10% - 25% travel

Education & Length of Experience

Research Engineer/Scientist/Technologist I

  • A Bachelor's degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, or Computer Science.

Research Engineer/Scientist II

  • A Master’s degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, or Computer Science and three (3) years of relevant full-time experience after completion of that degree,
  • A Master’s degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, or Computer Science and five (5) years of relevant full-time experience after completion of a Bachelor’s degree, or
  • A Doctoral degree in Electrical Engineering, Computer Engineering, Aerospace Engineering, or Computer Science.

Required Minimum Qualifications

  • Experience with Computer vision or image processing
  • Experience with Artificial intelligence or machine learning
  • Experience with Autonomous navigation algorithms
  • Experience with LIDAR and/or Electro-Optical (EO)/Infrared (IR) cameras

Preferred Qualifications

  • Experience with developing, training, and evaluating deep learning networks
  • Experience with Autonomous navigation algorithms
  • Experience with Robot Operating System (ROS)
  • Experience with Point cloud processing
  • Experience with Geomatics
  • Experience with Kalman filtering/Inertial Navigation System (INS) Processing
  • Experience programming/scripting in Matlab, Python
  • Experience Implementing algorithms in C/C++, C#, Visual Studio
  • Experience with Linux - Red Hat, Ubuntu, CentOS
  • Experience with open source software tools
  • Experience with project management or task leadership skills

U.S. Citizenship Requirements

Due to our research contracts with the US federal government, candidates for this position are required to be US Citizens.

Clearance Type Required

Candidates must be able to obtain and maintain an active security clearance.

Diversity & Inclusion

Diversity & Inclusion (D&I) at Georgia Tech Research Institute aims to enhance the Institute’s mission of solving the world’s most complex technical problems by creating a workforce with a shared appreciation for diversity, raising awareness around inclusiveness, and fostering a sense of belonging and appreciation for all members of our community.

Equal Employment Opportunity

Georgia Tech Research Institute is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employees. Equal Employment Opportunity is the Law.

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