AI​/ML Engineer; Experienced - ASL

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.

Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

• Students are our top priority.
• We strive for excellence.
• We thrive on diversity.
• We celebrate collaboration.
• We champion innovation.
• We safeguard freedom of inquiry and expression.
• We nurture the wellbeing of our community.
• We act ethically.
• We are responsible stewards.

Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

The Applied Systems Laboratory (ASL) Systems Integration Division (SID) supports systems integration, system design, and product development projects for the Department of Defense (DoD) systems. SID researches military systems specializing in avionics, electronic warfare, autonomous systems, intelligence systems, tactical communication/datalink systems; and live, virtual, constructive training solutions. The SID team's engineering roles include Systems Engineering, Algorithm Engineering, Datalink Engineering, and Embedded Software Engineering.

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.

• Design complex system architectures (e.g., high-performance computing clusters, networks, chipsets) based on available hardware (e.g., embedded systems, cloud, on-premise, etc.).
• Lead a team of engineers responsible for system deployment.
• Develop novel algorithms and methodologies.
• Engage with sponsors to understand and meet system requirements.
• Serve as the primary author on technical reports and proposals.

• Assist guide the AI/ML strategy for the division.
• Coordinate with division chief engineer to ensure development process and tools support integration of new technologies into development lifecycle.
• Form strategic relationships with key subject matter experts across ASL, GTRI, and Georgia Tech.
• Engage with current and…