Machine Learning Engineer Jobs in Atlanta, GA
Machine Learning Engineer jobs in Atlanta are concentrated in Midtown, Buckhead, and the Perimeter Center corridor, with strong demand coming from fintech, healthcare technology, and enterprise software. Employers hiring right now include FanDuel, Capgemini, and Georgia Tech. 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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Top Industries Hiring
- Technology & Software
Machine Learning Engineer Jobs in Atlanta: Frequently Asked Questions
How do I get a machine learning engineer job in Atlanta?
Focus your search on Atlanta's fintech corridor along Peachtree Street, the healthcare technology firms clustered near Emory and Children's Healthcare, and the enterprise software companies in Buckhead and Perimeter Center. Candidates who can demonstrate production ML deployment experience, not just research or notebook work, stand out in Atlanta's market. Familiarity with cloud infrastructure on AWS or Google Cloud is especially valued by local employers in financial services and health tech.
Which companies hire machine learning engineers in Atlanta?
Employers hiring machine learning engineers in Atlanta right now include FanDuel, Capgemini, and Georgia Tech, based on current listings on Migrate Mate as of November 2026. Atlanta's hiring base covers a wide range of employer types, from large financial technology companies and hospital systems to venture-backed software startups headquartered in Midtown and the Old Fourth Ward.
Are there remote machine learning engineer jobs in Atlanta?
Yes, machine learning engineer work is generally well-suited to remote and hybrid arrangements because the role centers on code, model training, and data pipelines rather than on-site equipment. About 100% of machine learning engineer openings tied to Atlanta are remote or hybrid as of November 2026, with the flexibility concentrated in model development and MLOps roles. Positions requiring integration with proprietary on-premise data infrastructure, common at Atlanta's larger hospital systems and financial institutions, tend to be on-site.
How can I get a machine learning engineer job in Atlanta with little or no experience?
The most realistic entry path in Atlanta is through a data analyst or data engineer role at one of the city's many fintech or health technology firms, then transitioning into ML work as those teams scale. Companies like NCR Voyix, Cardlytics, and Equifax routinely hire junior data professionals who move laterally into applied ML positions. Building a portfolio on publicly available datasets relevant to financial services or healthcare, two sectors that dominate Atlanta hiring, makes a candidate meaningfully more competitive than generic projects.
Which industries hire the most machine learning engineers in Atlanta?
The sectors hiring the most machine learning engineers in Atlanta are Technology & Software, based on current listings on Migrate Mate as of November 2026. Atlanta's position as a hub for payment processing, insurance technology, and academic medical centers creates unusually concentrated ML demand across those three sectors compared to most comparable-sized U.S. cities.
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