Overview: The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech).Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 2,900 employees, supporting eight laboratories in over 20 locations around the country and performing more than $940 million of problem-solving research annually for government and industry.GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.
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Project/Unit Description A full-time research faculty position exists in the Machine Learning and Data Analytics Branch of the Robotics and Autonomous Systems Division (RASD) within the Aerospace, Transportation, and Advanced Systems Laboratory (ATAS). The Machine Learning and Data Analytics branch is seeking candidates with software development experience that are interested and capable of supporting, developing, and/or deploying machine learning approaches to various applications including mission planning, and/or decision-making. Responsibilities may include 1) the development of infrastructure to support the evaluation of machine learning algorithms, 2) the implementation of novel machine learning algorithms, 3) the support of real-world application domains (e.g., autonomy). Since the projects span from research and development to application in simulation or physical hardware, there are opportunities to move from the development of new algorithms to deployment for real-time multi-domain robotics applications.
Job Purpose The Artificial Intelligence/Machine Learning (AI/ML) Engineer develops AI/ML algorithms, cloud computing, and/or heterogeneous distributed computing infrastructures to support the deployment of AI/ML applications. The AI/ML Engineer also researches the mathematical foundations and frameworks for nonlinear systems characterized by time-varying and emerging dynamics of evolving or adaptive systems. The AI/ML Engineer develops technical solutions at the leading edge of Artificial Intelligence, Machine Learning, Genetic Programming, Computer Vision, and advanced data processing, filtering, and fusion techniques in high-performance computing and distributed heterogeneous computing environments. The AI/ML Engineer writes parallel processing programs to deploy ML models developed by data scientists into more complex systems. The AI/ML Engineer has familiarity with state-of-the-art, open-source software frameworks and high-performance computing accelerators for machine learning. When conducting research, the AI/ML Engineer leverages the most recent advances in statistical analysis of large data sets to advance state-of-the-art automated sensor and data processing for a broad range of intelligent and sensor-enabled systems.
Key Responsibilities - Develop software products using software tools such as R, Python, C++, C and/or Julia.
- Deploy machine learning models utilizing existing tooling.
- Conduct research in a multi-disciplined team environment.
Additional Responsibilities - Implement, evaluate and analyze machine learning algorithms for autonomous and robotics applications with limited direction from supervisor.
- Collect, process and analyze data from physical sensors including cameras and radios for use in machine learning algorithms.
- Deploy machine learning models in simulation environments as well as on physical systems.
- Develop expertise in specific areas including reinforcement learning or planning as well as more applied areas such as controls or mission planning.
Required Minimum Qualifications - The ideal candidate will have hands-on experience with state-of-the-art machine learning algorithms. Experience with C++, Python, ROS, Linux, and/or reinforcement learning frameworks like PyTorch and RLlib.
Preferred Qualifications - Active Secret Clearance.
- Exposure to machine learning, artificial intelligence, reinforcement learning, or related fields.
- Experience with reinforcement learning frameworks such as RLlib.
- Hands-on experience applying state-of-the-art algorithms to complex data.
Travel Requirements Education and Length of Experience This position vacancy is an open-rank announcement.The final job offerwill be dependent on candidate qualifications in alignment with Research Faculty Extension Professional ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook
- 0 years of related experience with a Bachelor's degree in Robotics, Computer Engineering, Computer Science, Aerospace Engineering, Mathematics, or any related field.
Please refer to our Research Faculty Technical Level Guidelines for minimum requirements at the higher levels.
U.S. Citizenship Requirements 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:
Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
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Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at
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