AI/ML Engineer - ELSYS - On Site - Boston, MA - (Open Rank)

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:

1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. 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 AI/ML Engineer position in the Applied Embedded Systems (AES) division of the Electronic Systems Laboratory (ELSYS) will support multiple research products and projects in concert with development teams who are building complex, multi-faceted embedded and electronic systems. AES is predominantly focused on the research, development, testing, and deployment of embedded electronic and electromechanical systems. These systems provide our sponsors with technological solutions in the fields of Electronic Warfare (EW), command and control, communications, avionics, entertainment, physiological monitoring, and other 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.

• Design complex system architectures (e.g., high-performance computing clusters, networks, chipsets, GPUs) 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

• Develop, implement, and apply machine learning algorithms and methods to support sponsor and internal research and development projects
• Contribute to research reports, white papers, and competitive proposals

• Experience with machine learning tools such as Tensorflow, PyTorch, and Scikit-learn
• Experience in the applied Artificial Intelligence and Machine Learning (AI/ML) domain particularly in the area of Machine Learning Operations (MLOps)
• Familiarity with software development and collaboration tools such as GitLab and Atlassian (Confluence, Jira, Bitbucket)
• Knowledge and experience working with cloud computing platforms (e.g., Azure, AWS, GCP)

• Active Secret Clearance
• Research and evaluate AI models, conduct validations, manage AI projects, and align with industry data quality and machine learning best-practices
• Provide feedback, input, and consultation on various artifacts, including technical analysis of vendor products, academic insights, inputs to the DoD Enterprise AI strategy and technical documentation
• Provide technical analysis on vendor products through market research and participation in vendor demos, offering insights into their capabilities
• Share expertise and keep teams informed about emerging trends on AI advancement through presentation, literature summaries, or curated resource list
• Research and evaluate cost-effective AI/ML solutions for DoD enterprise use cases.

10% - 25% travel

Levels 3, 4, 5

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

• 5 years of related experience with a Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Data Science
• 3 years of related experience with a Masters' degree in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Data Science
• 0 years of related experience with a Ph.D. in Electrical Engineering, Computer Science, Computer Engineering, Software Engineering, Data Science

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

Candidates must be able to obtain and maintain an active security clearance.

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://benefits.hr.gatech.edu/.

Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University 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 University 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.

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USG Core Values Statement

The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.