Machine Learning Engineer - ICL

Atlanta, GA 30303

Job Description

A full-time, permanent position is available for a proven ML/AI Engineer with experience in signals analysis and RF signal processing in the Information and Communications Laboratory (ICL) at the Georgia Tech Research Institute (GTRI). ICL is one of the eight research units of GTRI with programs across a wide range of Information Science research, including communications, sensing, networks, advanced computing, trusted information exchange, enterprise modernization, software applications, data science, machine learning, artificial intelligence, and health systems. Research programs support a wide range of sponsors across national security, health, public safety, State, and industry. ICL currently has over 200 researchers and staff performing over $60M in research per year.

ICL is searching for a machine learning engineer or scientist that is interested in developing tools and algorithms for learning from signals. Potential applications include modulation classification, emitter identification, patterns of life analysis, frequency/channel selection, software-defined radar, and protocol analysis. The candidate is expected to have proven experience with machine learning, deep learning, or reinforcement learning techniques and software frameworks. Preferred experience includes GPU programming and related frameworks.

The successful candidate will have a Masters degree or higher in Computer Science, Computer Engineering, Mathematics, or a related discipline and 5+ years of experience in the technical areas described above. A PhD is preferred.

Job Duties

  • Conduct sponsored research programs and independent research projects involving the application of machine learning and artificial intelligence to signals analysis
  • Develop algorithms and code to analyze and make predictions from application-specific datasets
  • Document and present results in appropriate forums
  • Lead new proposal efforts to acquire sponsored research projects
  • Lead sponsored research tasks including directing up to three students or researchers

Travel Requirements

<10% travel

Education & Length of Experience

Research Engineer/Scientist II

  • A Masters degree in Computer Science, Computer Engineering, Mathematics, or a related discipline and three (3) years of relevant full-time experience after completion of that degree,
  • A Masters degree in Computer Science, Computer Engineering, Mathematics, or a related discipline and five (5) years of relevant full-time experience after completion of a Bachelors degree, or
  • A Doctoral degree in Computer Science, Computer Engineering, Mathematics, or a related discipline.

Senior Research Engineer/Scientist

  • A Masters degree in Computer Science, Computer Engineering, Mathematics, or a related discipline and seven (7) years of relevant full-time experience after completion of that degree,
  • A Masters degree in Computer Science, Computer Engineering, Mathematics, or a related discipline and nine (9) years of relevant full-time experience after completion of a Bachelors degree, or
  • A Doctoral degree in Computer Science, Computer Engineering, Mathematics, or a related discipline and four (4) years of relevant full-time experience after completion of a Bachelor's degree.

Required Minimum Qualifications

  • Masters degree or higher in Computer Science, Computer Engineering, Mathematics, or a related discipline and 5+ years of experience
  • Demonstrate a record of publication in machine learning, artificial intelligence, signal processing, or RF systems
  • Consideration may be given to candidates without an advanced degree but have 8+ years of experience after the completion of a  Bachelors degree in Engineering, Computer Science, Mathematics, Physics, or a related field of study.

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.

Benefits at GTRI

Comprehensive information on currently offered GTRI benefits including Health & Welfare, Retirement Plans, Tuition Reimbursement, Time Off, and Professional Development, can be found through this link: https://hr.gatech.edu/benefits

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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Machine Learning Engineer - ICL

Georgia Tech Research Institute (GTRI)
Atlanta, GA 30303

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