Georgia Institute of Technology
Research Scientist- Open Rank (Working Title: Research Assistant Professor in Ar
Georgia Institute of Technology, Atlanta, Georgia, United States, 30383
Job Title
Research Scientist- Open Rank (Working Title: Research Assistant Professor in Artificial Intelligence)
Location Atlanta, GA
Job Summary The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting‑edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.
Responsibilities Research Leadership in Foundation Models, World Models, and Frontier AI
Lead and execute advanced research programs in large‑scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self‑supervised learning at scale.
Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi‑agent environments.
Develop GPU‑, TPU‑, and cluster‑optimized training frameworks, distributed training systems, and inference‑time optimization pipelines for next‑generation AI models.
Publish high‑impact papers in top AI/ML venues, release open‑source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.
Lab Management and AI Compute Infrastructure Operations
Oversee daily operations of the AI research lab, including GPU clusters, high‑performance storage, distributed training stacks, and data governance frameworks.
Manage, maintain, and expand high‑performance compute infrastructure: multi‑node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large‑scale evaluation.
Affiliate Engagement, Business Development, and Partnerships
Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.
Project Management and PhD Mentorship
Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large‑scale representation learning.
Manage multi‑PI, multi‑institution, and affiliate‑funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.
Required Qualifications Research Scientist/Engineer I Bachelor's Degree in Electrical Engineering, Physics, or related area.
Research Scientist/Engineer II
A Master's degree and three (3) years of relevant full‑time experience after completion of that degree,
A Master's degree and five (5) years of relevant full‑time experience after completion of a Bachelor's degree, or
A Doctoral degree.
Senior Research Scientist/Engineer
A Master's degree and seven (7) years of relevant full‑time experience after completion of that degree,
A Master's degree and nine (9) years of relevant full‑time experience after completion of a Bachelor's degree, or
A Doctoral degree and four (4) years of relevant full‑time experience after completion of a Bachelor's degree.
Preferred Qualifications
PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
Hands‑on experience with large‑scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
Demonstrated experience mentoring students or leading technical AI teams.
Strong communication and presentation skills for both technical and non‑technical audiences.
Contact Information Linda Dillon, Lucretia Allen or Shalonda Williams – hrinfo@ece.gatech.edu
Equal Employment Opportunity Statement The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. 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. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (“USG”) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
Other Information This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P‑Card).
This position will not travel.
This position does not require security clearance.
Background Check Successful candidate must be able to pass a background check.
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Location Atlanta, GA
Job Summary The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting‑edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few.
Responsibilities Research Leadership in Foundation Models, World Models, and Frontier AI
Lead and execute advanced research programs in large‑scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self‑supervised learning at scale.
Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi‑agent environments.
Develop GPU‑, TPU‑, and cluster‑optimized training frameworks, distributed training systems, and inference‑time optimization pipelines for next‑generation AI models.
Publish high‑impact papers in top AI/ML venues, release open‑source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities.
Lab Management and AI Compute Infrastructure Operations
Oversee daily operations of the AI research lab, including GPU clusters, high‑performance storage, distributed training stacks, and data governance frameworks.
Manage, maintain, and expand high‑performance compute infrastructure: multi‑node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks.
Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets.
Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large‑scale evaluation.
Affiliate Engagement, Business Development, and Partnerships
Engage, onboard, and support affiliate companies participating in the AI and foundation model research program.
Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users.
Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations.
Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer.
Project Management and PhD Mentorship
Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large‑scale representation learning.
Manage multi‑PI, multi‑institution, and affiliate‑funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction.
Provide technical direction on model design, dataset creation, training strategies, evaluation, experiment planning, scheduling, milestones, and results dissemination.
Required Qualifications Research Scientist/Engineer I Bachelor's Degree in Electrical Engineering, Physics, or related area.
Research Scientist/Engineer II
A Master's degree and three (3) years of relevant full‑time experience after completion of that degree,
A Master's degree and five (5) years of relevant full‑time experience after completion of a Bachelor's degree, or
A Doctoral degree.
Senior Research Scientist/Engineer
A Master's degree and seven (7) years of relevant full‑time experience after completion of that degree,
A Master's degree and nine (9) years of relevant full‑time experience after completion of a Bachelor's degree, or
A Doctoral degree and four (4) years of relevant full‑time experience after completion of a Bachelor's degree.
Preferred Qualifications
PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development.
Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems.
Hands‑on experience with large‑scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines.
Demonstrated experience mentoring students or leading technical AI teams.
Strong communication and presentation skills for both technical and non‑technical audiences.
Contact Information Linda Dillon, Lucretia Allen or Shalonda Williams – hrinfo@ece.gatech.edu
Equal Employment Opportunity Statement The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. 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. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (“USG”) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
Other Information This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P‑Card).
This position will not travel.
This position does not require security clearance.
Background Check Successful candidate must be able to pass a background check.
#J-18808-Ljbffr