Description

AI/ML Engineer -ICL

Submit Resume ID: 497529 Type: Researchers Location: Atlanta, GA Categories: Algorithm Development, Artificial Intelligence, High Performance Computing, Machine Learning, Data Analytics/Science

Project/Unit Description

The projects are based out of the Tech Square area in Atlanta on the Georgia Tech campus. Occasional travel may be required and is project dependent. The Advanced Computing and Artificial Intelligence Division at GTRI works on problems ranging from low-level computer architecture design, to building scalable algorithms and data structures, to machine learning and statistical inference. Our team spans the full technology stack to bring cutting-edge research in data analytics to scale, and then apply those analytics to real- world problems to enable actionable insight. Our team works on a variety of projects ranging from data analytics in healthcare, predictive modeling, predictive maintenance, and large scale parallel and discrete scientific models and simulations. We are looking for candidates that are excited by working on a variety of problems always with an eye on sponsor value, performance, and scalability.

Job Purpose

Develops AI/ML algorithms and the development of cloud computing or heterogeneous distributed computing infrastructure to support the deployment of AI/ML applications. Additionally, an AI/ML Engineer performs research in the mathematical foundations and frameworks for nonlinear systems characterized by time-varying and emerging dynamics of Evolving or Adaptive Systems. They work at the leading edge of Artificial Intelligence (AI), Machine Learning (ML), Genetic Programming (GP), Computer Vision (CV), and advanced data processing, filtering, and fusion techniques. Work in high- performance computing and distributed heterogeneous computing environments. Write parallel processing programs to deploy ML models developed by the data scientist into more complex systems. Familiarity with state-of-the-art, open- source software frameworks and high-performance computing accelerators for machine learning. Leverage the most recent advances in statistical analysis of large data sets (AI/ML) to advance state-of-the-art automated sensor and data processing for a broad range of smart and sensor enabled systems.

Key Responsibilities

Proficient in R, Python, C++, C and/or Julia.

Deploy machine learning models utilizing existing tooling.

Coordinate frequently with team.

Additional Responsibilities

Support the design, development, analysis, and implementation of machine learning codes on medium- and large-scale clusters

Creating parallel computing tools and frameworks to support mission applications

Contributing to technical reports

Benchmark Machine learning models and compare results

Required Minimum Qualifications

Candidates currently enrolled in an accredited degree program relevant to this position will be considered. The candidate must have a graduation date of no later than May, 2022.

Bachelor degree or higher in Mathematics, Statistics, Applied Mathematics, Computer Science, Electrical or Computer Engineering, Physics, Public Health or a related discipline

Demonstrated projects in machine learning, artificial intelligence, signal processing, or RF systems (1+ projects)

Experience with ML Libraries like Pytorch, Tensorflow (2+ years)

Preferred Qualifications

Active Secret Clearance

Masters degree or higher in Mathematics, Statistics, Applied Mathematics, Computer Science, Electrical or Computer Engineering, Physics, Public Health or a related discipline

Demonstrate record of publication in machine learning, artificial intelligence, signal processing, or RF systems (1+ publications)

Experience with image/signal processing or functional programming (2+ years)

CUDA programming experience (2+ years)

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 Mathematics, Statistics, Applied Mathematics, Computer Science, Electrical or Computer Engineering, Physics, Public Health or a related discipline.

U.S. Citizenship Requirements

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

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

Diversity & Inclusion

Diversity & Inclusion (D&I) at Georgia Tech Research Institute aims to enhance the Institute's mission of solving the world's most complex technical problems by creating a workforce with a shared appreciation for diversity, raising awareness around inclusiveness, and fostering a sense of belonging and appreciation for all members of our community.

Equal Employment Opportunity

Georgia Tech Research Institute is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employees. Equal Employment Opportunity is the Law.

Posted: 05/06/2022 Closes: 07/05/2022