AI/ML Engineer - GTRI-CIPHER

at  Georgia Tech Research Institute

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.

PROJECT/UNIT DESCRIPTION

GTRI is searching for a Machine Learning Researcher to work in the Assured Software and Information Division (ASID) in the Cybersecurity, Information Protection, and Hardware Evaluation Research(CIPHER) Lab. ASID is a new unit focusing on developing and implementing analytical methods to assure the security and integrity of data, software, algorithms, and cyber-connected devices. ASID research areas of interest include: foundations and applications of AI/ML, information theory, quantitative reasoning, programming language theory, formal methods, abstract interpretation, symbolic analysis, static and dynamic analysis, malware analysis, fuzzing, natural language processing, and other fundamental mathematical-based knowledge applied to diverse cyber problems. Machine LearningResearchers are responsible for researching, architecting, and managing machine learning algorithms, guiding data collection and generation processes, developing data representations and modeling processes for cyber systems. Core tasks will include model selection and implementation, identification and definition of performance metrics, and rigorous analysis of model performance (e.g., scaling behavior, metric choice, etc.).
The CIPHER Lab has programs across a wide range of cybersecurity topics, including secure information systems, cyber-physical systems, reverse engineering, software and hardware assurance, trusted microelectronics, command and control systems, cyber threat analysis, and novel computing and information storage approaches including quantum and molecular systems. The goal of ASID is to grow a forward-looking capability in quantitative methods that brings innovative

REQUIRED MINIMUM QUALIFICATIONS

• Experience with machine learning research and implementation
• Experience with data science
• Experience with Python (including numPy, sciPy)
• Experience with version control systems (Eg. Git)
• Demonstrated technical achievements in at least one relevant technical domain
• Excellent communication skills
• Candidates currently enrolled in an accredited degree program relevant to this position will be considered.

PREFERRED QUALIFICATIONS

• Active Secret Clearance
• Background in computer science, mathematics, physics, informatics, or engineering field
• Experience with machine learning tools such as Tensorflow, PyTorch, and Scikit-learn
• Experience leading research projects and teams

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

• 2 years of related experience with a Bachelor’s degree in computer science, mathematics, physics, informatics, or engineering field
• 0 years of related experience with a Masters’ degree in computer science, mathematics, physics, informatics, or engineering field

U.S. CITIZENSHIP REQUIREMENTS

Due to our research contracts with the U.S. federal government, candidates for this position must be U.S. Citizens.

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

• Apply tools and frameworks to deploy machine learning models
• Conduct data conditioning, processing, filtering, and fusion to support the creation of automated algorithms
• Make decisions regarding implementation based on available hardware (e.g., embedded systems, cloud, server infrastructure)
• Design application logging capabilities and perform debugging with available logs

ADDITIONAL RESPONSIBILITIES

• Develop machine learning and quantitative algorithms and methods to support cybersecurity applications
• Guide data collection and generation processes
• Research, develop and present technical presentations and documents for internal and external peer review
• Stay current on research aiming for transfer/application of techniques with well thought out technical promise and challenges
• Establish, develop, and lead novel research projects
• Lead and participate in the development of successful proposals and white papers
• Mentor junior researchers