Data Scientist / Engineer - Machine Learning (Experienced) -- EOSL

Atlanta, GA 30303
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Job Description

The data scientist/engineer in the Performance Optimization Branch will perform digital modeling, simulation, analysis, performance optimization, and machine learning tasks to support electronic warfare research and development. Electronic warfare applications include aircraft self-protection, missile warning, hostile fire indication, laser warning, countermeasures, scene generation, atmospheric phenomena, and electro-optical/infrared (EO/IR) signature modeling. The data scientist/engineer will be on an agile team that performs software optimization, verification, validation, and system simulation using dedicated high-performance computing clusters to support sponsor missions.

Job Duties:

  • Develop innovative algorithms and apply machine learning/deep learning methods to EW applications such as object detection, object recognition, and time series classification
  • Research novel methods in the field of automated machine learning and algorithm design to solve problems of today and challenges of tomorrow
  • Create large robust curated datasets from limited real-world supervised examples through simulation, augmentation techniques, and more modern approaches such as GANs
  • Deliver full trade space of algorithmic solutions within sponsor performance specifications using multiple-objective optimization and analysis techniques
  • Write and perform software tests supporting software verification and document outcomes
  • Lead technical tasks, projects, and/or technical teams
  • Build and deliver technical presentations to stakeholders/sponsors
  • Perform other duties as assigned

Travel Requirements

10% - 25% travel

Education & Length of Experience

Research Engineer/Scientist II

  • A Masters degree in electrical engineering, computer engineering, computer science, or a related technical discipline and three (3) years of relevant full-time experience after completion of that degree,
  • A Masters degree in electrical engineering, computer engineering, computer science, or a related technical discipline and five (5) years of relevant full-time experience after completion of a Bachelors degree, or
  • A Doctoral degree in electrical engineering, computer engineering, computer science, or a related technical discipline.

Senior Research Engineer/Scientist

  • A Masters degree in electrical engineering, computer engineering, computer science, or a related technical discipline and seven (7) years of relevant full-time experience after completion of that degree,
  • A Masters degree in electrical engineering, computer engineering, computer science, or a related technical discipline and nine (9) years of relevant full-time experience after completion of a Bachelors degree, or
  • A Doctoral degree in electrical engineering, computer engineering, computer science, or a related technical discipline and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

Required Minimum Qualifications

  • Experience with machine learning and/or genetic programming methods
  • Experience with Python (including numPy, sciPy, pandas, matplotlib) and C++
  • Experience with Linux
  • Experience with version control systems (Eg. Git)
  • Educational background to qualify as Research Engineer/Scientist II or Senior Research Engineer/Scientist
  • 3+ years of relevant work experience

Preferred Qualifications

  • Experience with Evolutionary Multi-objective Algorithm Design Engine (EMADE) tool set
  • Experience in the fields of remote sensing, machine learning, or computer vision
  • Experience with machine learning tools such as Tensorflow, Scikit-learn, Keras, or PyTorch
  • Experience with Perl, Matlab, Fortran, or Ada
  • Experience leading tasks, projects, and/or technical teams
  • Active DoD security clearance
  • A PhD in electrical engineering, computer engineering, computer science, or a related technical discipline
  • 8+ years of relevant work experience

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 Institutes mission of solving the worlds 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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Located in Atlanta, Georgia, the Georgia Institute of Technology is a leading research university committed to improving the human condition through advanced science and technology.

Ranked as the #7 best public university, Georgia Tech provides a focused, technologically based education to more than 21,500 undergraduate and graduate students.

Georgia Tech has many nationally recognized programs, all top-ranked by peers and publications alike, and is ranked in the nation’s top 10 public universities by U.S. News and World Report.

Degrees are offered through the colleges of Architecture, Computing, Engineering, Sciences, the Scheller College of Business, and the Ivan Allen College of Liberal Arts.

The strong academic work ethic at Tech is balanced by a collegiate atmosphere incorporating both intercollegiate and intramural sports, campus traditions, and some 400 student organizations.

Alongside their academic achievements, Tech students are also active in the community, earning a well-rounded education through community service activities.

As a leading technological university, Georgia Tech has more than 100 centers focused on interdisciplinary research that consistently contribute vital research and innovation to American government, industry, and business.

There is no doubt that Georgia Tech stands out as a distinctively different kind of university, one that is eagerly encouraging and developing the revolutionary technologies of the 21st century.

Equipped with the extremely rich resources of an outstanding student body and faculty; strong partnerships with business, industry, and government; and support from alumni and friends, Georgia Tech is designing a future of global preeminence, leadership, and service.

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Data Scientist / Engineer - Machine Learning (Experienced) -- EOSL

Georgia Tech Research Institute (GTRI)
Atlanta, GA 30303

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