Machine Learning Intern Jobs in Georgia
Machine Learning Intern jobs in Georgia are concentrated in one of the Southeast's most active technology markets, with strong demand across fintech, healthcare analytics, and defense contracting at every level from undergraduate to graduate research. Atlanta drives the bulk of hiring, with additional activity in Savannah and Augusta, where employers like NCR Voyix, Delta Air Lines, and the Georgia Tech Research Institute consistently take on machine learning interns. The most sought-after specialties are natural language processing, computer vision, and predictive modeling applied to enterprise-scale datasets. Scan the live roles below and apply to whichever ones fit.
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The fellow will develop and apply novel statistical, mathematical, computational, and machine learning methods, with particular emphasis on deep learning and modern AI approaches, to improve our understanding, inference, and prediction of infectious disease dynamics. Potential research areas include epidemic forecasting,deep learning–based simulation-based inference, generative and foundation models for epidemiology, phylodynamics, and integration of heterogeneous surveillance
data.
Projects are strongly grounded in real-world public health applications, including pandemic preparedness, outbreak forecasting, infectious disease surveillance, and data-driven public health decision-making. The fellow will have substantial opportunities to develop independent research directions and lead high-impact methodological and applied publications.
Position Details
- Start date: Spring-Summer 2027 preferred; timing is flexible for an exceptional candidate
- Initial term: 1 year, with the expectation of renewal based on performance, mutual fit, and funding
- Location: Emory University, Atlanta, Georgia
JOB DESCRIPTION: Helps design and conduct research within a specified field while receiving advanced training from a designated Principal Investigator to enhance professional skills and research independence needed for pursuit of a career. The specific area of research in which the trainee is mentored is determined by the department and laboratory of the Postdoc. Designs and evaluates experiments. Develops new ideas that promote current research. Prepares and publishes scientific manuscripts under the direction of the Principal Investigator. May be responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for one year, renewal expected if progress is satisfactory and funds are available. Appointments cannot exceed five years.
MINIMUM QUALIFICATIONS: A doctoral degree or equivalent (Ph.D., M.D., ScD., D.V.M., DDS etc) in an appropriate field. Excellent scientific writing ability and strong oral communication skills. The ability to work effectively and collegially with colleagues. Additional qualifications as specified by the Principal Investigator.
Preferred Qualifications
- PhD in statistics, biostatistics, computer science, applied mathematics, physics, artificial intelligence, or another closely related quantitative field
- Strong interest in applying quantitative and computational methods to infectious disease epidemiology
- Strong background in statistical/mathematical modeling, machine learning, or computational methods
- Experience with deep learning, probabilistic modeling, scientific machine learning, or related modern AI methods is particularly desirable
- Strong interest in interdisciplinary research
- Proficiency in Python and R; experience with additional scientific computing frameworks is desirable
- Strong research record and evidence of growing independence.
- Strong written and verbal communication skills
Candidates are not expected to have prior experience in every area listed above. Applicants with particularly strong methodological or computational backgrounds who are genuinely interested in applying their expertise to infectious disease problems are encouraged to apply.
Research Environment
The Lau Lab provides a highly collaborative and interdisciplinary research environment spanning biostatistics, epidemiology, computer science, and infectious disease dynamics. The fellow will work closely with Dr. Max Lau and will have opportunities to collaborate with leading researchers at Emory from Computer Science, Epidemiology and Biology. Postdoctoral fellows will receive strong support for professional development, including conference travel, interdisciplinary collaborations, development of independent research programs, and publication in leading methodological and scientific journals.
Application Instructions
Interested applicants should apply through the Emory portal.
Please include:
- Curriculum vitae (CV)
- Statement of research interests
- Contact information for two references. Reference letters will be requested from candidates selected for interview.
Questions may be directed to Dr. Max Lau at msy.lau@emory.edu.
Review of applications will begin immediately and continue until the position is filled.
Emory University is committed to ensuring equal access and providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to seek a reasonable accommodation, please contact the Department of Accessibility Services at accessibility@emory.edu or call 404-727-9877 (Voice) | 404-712-2049 (TDD). We kindly ask that requests be made at least seven business days in advance to allow adequate time for coordination.
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Find Machine Learning Intern JobsMachine Learning Intern Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Machine Learning Intern Job Market in Georgia
A snapshot from current Georgia openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
What Georgia Employers Look For
The qualifications that appear most often in machine learning intern jobs across Georgia.
- Enrollment in a bachelor's or master's program in computer science, mathematics, or a related field
- Hands-on experience with Python and core machine learning libraries such as TensorFlow or PyTorch
- Familiarity with supervised and unsupervised learning techniques and model evaluation methods
- Experience working with large datasets and data preprocessing pipelines in a project or coursework setting
- Strong foundation in linear algebra, probability, and statistics as applied to machine learning problems
- Ability to communicate technical findings clearly to both technical and non-technical stakeholders
Machine Learning Intern Jobs in Georgia: Frequently Asked Questions
How do you become a machine learning intern in Georgia?
Machine learning intern roles in Georgia do not require a state-issued license or certification. Most positions require current enrollment in a bachelor's or master's program in computer science, data science, or a related discipline at a Georgia university such as Georgia Tech, Georgia State, or Emory. Building a portfolio of projects on GitHub and completing coursework in deep learning, statistics, and data engineering significantly strengthens an application at Georgia-based employers.
Which companies hire machine learning interns in Georgia?
Companies currently hiring machine learning interns in Georgia include FanDuel, Capgemini, and TaxSlayer, per current listings on Migrate Mate as of November 2026. Georgia's concentration of Fortune 500 headquarters, defense contractors, and health systems makes it one of the more consistent states for machine learning intern openings across multiple industries.
Which Georgia cities have the most machine learning intern jobs?
Atlanta, Georgia, and Augusta are the Georgia cities with the most machine learning intern openings. Atlanta anchors the list because of its dense technology corridor, major corporate headquarters, and proximity to Georgia Tech, while smaller metro areas benefit from the presence of defense research institutions and regional health system campuses that run ongoing intern programs.
Are there remote machine learning intern jobs in Georgia?
Yes, and more than most fields. About 100% of machine learning intern openings tied to Georgia are remote or hybrid as of November 2026, reflecting how naturally the work translates to distributed environments. Model development, data pipeline work, and research tasks are the parts of the role most commonly performed remotely, though positions tied to proprietary datasets or defense contracts tend to require on-site presence.
How can I get hired as a machine learning intern in Georgia with little or no experience?
The most realistic entry path is applying through university-affiliated programs before building an independent portfolio. Georgia Tech's College of Computing and Georgia State's Data Science Institute both connect students to structured internship pipelines with Atlanta-area employers. Applying to data analyst or business intelligence associate roles at large Georgia employers like NCR Voyix or Equifax can serve as a lateral entry point, and completing a Kaggle project or contributing to an open-source model provides the concrete evidence employers look for when candidates lack formal work history.
Where can I find and apply to machine learning intern jobs in Georgia?
You can find and apply to machine learning intern jobs in Georgia on Migrate Mate, which lists current Georgia openings updated regularly. Search for roles that match your specialization, experience level, and preferred location, then apply directly to the ones that fit your background.
See All 10 Machine Learning Intern Jobs in Georgia
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