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Machine Learning/Robotics Intern - Summer 2026 - ATAS

  • 500880
  • Atlanta, Georgia
  • Artificial Intelligence
  • Data Analytics/Science
  • Information Technology
  • Machine Learning
  • Modeling/Simulation
  • Networking
  • Robotics/Automated Systems
  • Sensors/Optics
  • Software Development/Design
  • Testing

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  • Students: Intern
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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.   

Georgia Tech's Mission and Values

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.

Job Description

The Intelligent Sustainable Technologies Division within the Aerospace, Transportation and Advanced Systems Laboratory (ATAS) is seeking a motivated Intern, starting Summer 2026, to collaborate on research projects in robotics, artificial intelligence, and machine learning. The candidate will collaborate closely with full-time engineers to address challenging robot perception and manipulation problems in complex and unstructured environments. Responsibilities will include evaluating baselines, developing and training models, and running experiments on both simulated and real robot hardware. Strong math and programming skills are essential, as well as any prior experience in research environments. This role offers an exciting opportunity to conduct frontier robotics research and applying cutting edge techniques to solve real-world challenges.

Required Minimum Qualifications

  • Strong programming background and experience
  • Familiarity with Linux systems and Unix tooling
  • Experience training ML models (e.g. Pytorch, Jax)

Intern

  • Pursuing a Bachelor's degree in Computer Science, Electrical Engineering or related field
  • 3.0 or higher GPA
  • Full-Time Intern- Must be registered for Full-time Internship Credit

Preferred Qualifications

  • Initiative and a strong work ethic
  • Prior research experience (academic, internship, personal projects)
  • Knowledge and experience in robotics, computer vision and controls
  • Experience with high performance computing environments
  • C++ programming experience
  • Strong math skills and theoretical knowledge
  • Ability to clearly communicate technical ideas

Hours per Week

40 hours per week

U.S. Citizenship Requirements

Not Applicable

Clearance Type Required

None

Housing and Relocation

Housing and relocation assistance are not available for this position.

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, or 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.


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.

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