Senior ML Engineer Jobs in Georgia
Senior ML Engineer jobs in Georgia are among the most active in the Southeast, concentrated in fintech, healthcare AI, cybersecurity, and logistics optimization, with demand from entry-level ML engineers through principal and staff-level roles. The heaviest hiring is in Atlanta, with secondary activity in Augusta and Savannah, where employers like Delta Air Lines, NCR Voyix, and Equifax maintain substantial data and AI teams. The most sought-after specializations in Georgia right now are large language model deployment, real-time inference systems, and MLOps. 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.
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Where Georgia roles are concentrated, by current openings.
Senior ML Engineer 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 senior ML engineer jobs across Georgia.
- Bachelor's or master's degree in computer science, statistics, or a closely related field
- Five or more years of applied machine learning experience in production environments
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or JAX
- Demonstrated experience designing and deploying end-to-end ML pipelines at scale
- Familiarity with cloud platforms including AWS, Google Cloud, or Azure ML services
- Strong communication skills for presenting model results to non-technical stakeholders
Senior ML Engineer Jobs in Georgia: Frequently Asked Questions
How do you become a senior ml engineer in Georgia?
Georgia does not require a state-issued license to work as a senior ml engineer, so the path is credential and experience driven. Most roles expect a bachelor's or master's degree in computer science, mathematics, or a related field, combined with several years building and shipping production ML systems. Georgia's deep concentration of technology employers in Atlanta creates a clear pipeline from junior ML or data science roles up to senior positions, and certifications from cloud providers like AWS or Google Cloud carry real weight with local hiring managers.
How much do senior ML engineers make in Georgia?
Senior ML engineers in Georgia earn a median of about $104,610 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $60,920 for the lowest 10% to over $173,060 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior ml engineers in Georgia?
Employers hiring senior ml engineers in Georgia right now include FanDuel, Capgemini, and TaxSlayer, based on current listings on Migrate Mate as of November 2026. Georgia's fintech corridor, anchored in Atlanta, along with major logistics and healthcare companies headquartered in the state, keeps demand for experienced ML talent consistently high.
Which Georgia cities have the most senior ml engineer jobs?
Atlanta, Georgia, and Augusta have the most senior ml engineer openings in Georgia. Atlanta drives the overwhelming majority of postings because it is home to the regional headquarters of major fintech, media, and logistics firms, while Augusta and Savannah contribute openings tied to defense contractors, healthcare systems, and growing technology campuses expanding outside the Atlanta metro.
Are there remote senior ml engineer jobs in Georgia?
Yes, and more than most fields. About 100% of senior ml engineer openings tied to Georgia are remote or hybrid as of November 2026, reflecting how much of the work involves writing code, training models, and reviewing pipelines rather than being physically on-site. Model deployment and infrastructure work tends to be the most remote-friendly portion of the role.
How can I get hired as a senior ml engineer in Georgia with little or no experience?
The most realistic entry path is moving from a data scientist, data analyst, or software engineer role into an ML-focused position. Large Georgia employers like NCR Voyix, Equifax, and Home Depot run new-grad rotational and associate engineering programs that include ML tracks, giving early-career candidates structured exposure to production systems. Building a portfolio of end-to-end projects on public datasets, contributing to open-source ML tools, and earning a cloud ML certification from AWS or Google significantly strengthens a Georgia application with limited professional ML history.
Where can I find and apply to senior ml engineer jobs in Georgia?
You can find and apply to senior ml engineer jobs in Georgia on Migrate Mate, which lists current Georgia openings updated regularly. Search the listings to find roles that match your experience and specialization, then apply directly to the ones that fit.
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