Machine Learning Manager Jobs in Georgia
Machine Learning Manager jobs in Georgia are in strong demand, with hiring concentrated in financial technology, logistics, healthcare informatics, and defense contracting, covering the full range from team lead through senior director. Atlanta anchors the market alongside Alpharetta and Augusta, where employers such as NCR Voyix, Cox Enterprises, and Anthem anchor recurring demand for managers who can oversee model deployment, MLOps pipelines, and applied AI teams. The most sought-after specializations in Georgia listings are natural language processing, computer vision, and recommendation systems. Find a role that fits below and apply directly.
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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.
See All 10 Machine Learning Manager Jobs in Georgia
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Find Machine Learning Manager JobsMachine Learning Manager Jobs by City in Georgia
Where Georgia roles are concentrated, by current openings.
Machine Learning Manager 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 manager jobs across Georgia.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of hands-on machine learning engineering or data science experience
- Demonstrated experience leading and mentoring a team of data scientists or ML engineers
- Proficiency with Python, TensorFlow or PyTorch, and cloud ML platforms such as AWS SageMaker
- Experience managing end-to-end model lifecycle from research through production deployment
- Strong cross-functional communication skills for presenting model outcomes to business stakeholders
Machine Learning Manager Jobs in Georgia: Frequently Asked Questions
How do you become a machine learning manager in Georgia?
There is no state-issued license required to work as a machine learning manager in Georgia, so the path runs through education and experience. Most Georgia employers expect a bachelor's degree in computer science, mathematics, or a related field, with a master's degree increasingly preferred for leadership roles. Candidates typically build several years of hands-on ML engineering experience before moving into management, often within Georgia's fintech corridor in Atlanta or its growing defense-tech sector.
Which companies hire machine learning managers in Georgia?
Employers hiring machine learning managers in Georgia right now include FanDuel, Capgemini, and TaxSlayer, based on current listings on Migrate Mate as of November 2026. Georgia's concentration of financial services, logistics, and healthcare technology companies means demand is spread across both established Fortune 500 headquarters and fast-growing tech firms anchored in the Atlanta metro.
Which Georgia cities have the most machine learning manager jobs?
Atlanta, Georgia, and Augusta have the most machine learning manager openings in Georgia. Atlanta drives the largest share due to its dense cluster of fintech firms, media companies, and corporate headquarters, while Alpharetta's technology corridor attracts enterprise software and cybersecurity employers, and Augusta's growing defense and healthcare sectors generate consistent ML leadership demand outside the main metro.
Are there remote machine learning manager jobs in Georgia?
Yes, and more than most fields. About 100% of machine learning manager openings tied to Georgia are remote or hybrid as of November 2026, reflecting how much of the work involves code, model review, and stakeholder presentations that transfer well to distributed settings. The parts of the role most likely to remain fully on-site are those tied to regulated data environments, such as healthcare or defense contracting positions.
How can I get hired as a machine learning manager in Georgia with little or no experience?
The most realistic entry path is moving laterally from a strong individual-contributor ML or data science role rather than applying directly to manager openings. Georgia employers like NCR Voyix, Cox Enterprises, and large Atlanta-area health systems regularly hire senior ML engineers with demonstrated project ownership, treating that as a pipeline for team lead and manager roles. Building a portfolio of deployed models, contributing to open-source ML projects, and earning a cloud ML certification strengthens a Georgia candidate's case for that first step into management.
Where can I find and apply to machine learning manager jobs in Georgia?
You can find and apply to machine learning manager jobs in Georgia on Migrate Mate, which lists current Georgia openings. Find the roles that fit your background and apply directly through each listing.
See All 10 Machine Learning Manager Jobs in Georgia
Find roles in Georgia that match your experience and apply in just a few clicks.
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