Research Scientist- Open Rank (Working Title: Research Assistant Professor in Artificial Intell[...]

Georgia Institute of Technology; Atlanta (GA); On-site; USD 80,000 - 120,000; Full time

Job summary

The Georgia Institute of Technology is seeking a Research Scientist in Atlanta, GA, to lead innovative research in Artificial Intelligence. This position will involve managing lab operations, overseeing projects, and engaging with affiliate companies.

Ideal candidates should have a Bachelor's or advanced degree in Electrical Engineering or a related field, along with proven experience in AI research, large-scale model development, and excellent communication skills. Join Georgia Tech to contribute to groundbreaking research and advancements in the field.

Qualifications

• Bachelor's Degree in Electrical Engineering, Physics, or a related area.
• Master's degree with relevant experience or a Doctoral degree preferred.
• Research experience in AI, large-scale model development, and strong programming skills.

Responsibilities

• Lead cutting-edge research in Artificial Intelligence.
• Oversee daily operations of the AI research lab.
• Engage with affiliate companies for collaboration.

Skills

Research Leadership

Project Management

AI Compute Infrastructure

Mentorship

Communication Skills

Education

Bachelor's Degree in Electrical Engineering, Physics, or related area

Master's Degree (3/5 years of experience)

Doctoral Degree

Tools

Deep Learning Frameworks (PyTorch, JAX, TensorFlow)

GPU/TPU Systems

Job description

Location

Atlanta, GA

Department Information

The School of Electrical and Computer Engineering (ECE) at Georgia Tech is one of the largest producers of electrical and computer engineers. It houses over 110 faculty members across research areas such as bioengineering, computer systems, digital signal processing, electromagnetics, nanotechnology, optics, photonics, systems and controls, telecommunications, and VLSI systems.

Job Summary

The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech seeks a Research Scientist to lead and advance cutting‑edge research in Artificial Intelligence. The role involves laboratory management, project oversight, and business development activities.

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: [e-mail]

Equal Employment Opportunity

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. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute 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, and services.

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. Please visit http://policylibrary.gatech.edu/employment/pre‑employment‑screening