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# AI/ML Engineer - Smyrna, GA - ATAS - Open Rank

- **Company:** The Georgia Tech Research Institute
- **Location:** Smyrna, GA, United States
- **Contract:** Permanent contract
- **Skills:** C (Programming Language), Artificial Intelligence, Data Analysis, Computer Vision, Big Data, C++ (Programming Language), Cloud Computing, Computer Engineering, Linux, Distributed Systems, Genetic Algorithm, R (Programming Language), Python (Programming Language), Machine Learning, Software Tools, Software Engineering, Reinforcement Learning, Data Processing, Robot Operating System, High Performance Computing, Pytorch, Parallel Computation, SC Clearance, Information Technology, Data Analytics, Free and Open-Source Software
- **Published:** October 1, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88493065/1

## About the Role

\* 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., \* 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 \* \<10% travel. Education and Length of Experience This position vacancy is an open-rank announcement. The final job offer will 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.



## 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., 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.