Machine Learning Jobs in Atlanta, GA
Machine learning jobs in Atlanta are concentrated in Midtown, Buckhead, and the tech corridor around Peachtree Street, with strong demand across fintech, healthcare technology, and enterprise software. Employers hiring right now include FanDuel, Capgemini, and Georgia Tech. See the openings below and apply to the ones that match your experience.
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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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Who's Hiring



Top Industries Hiring
- Technology & Software
Machine Learning Jobs in Atlanta: Frequently Asked Questions
How do I get a machine learning job in Atlanta?
Atlanta's machine learning market is strongest in fintech, health tech, and enterprise cloud services, with hiring concentrated in Midtown and Buckhead. Candidates who stand out typically bring experience with production ML systems, not just research or notebook work. Familiarity with the data infrastructure common in financial services or clinical analytics gives a real edge in this market over generalist profiles.
Which companies hire machine learnings in Atlanta?
Employers hiring machine learnings in Atlanta right now include FanDuel, Capgemini, and Georgia Tech, based on current listings on Migrate Mate as of November 2026. Atlanta's hiring mix includes large financial institutions, health systems, and a growing tier of mid-size SaaS and data platform companies that have relocated or expanded their engineering teams here.
Are there remote machine learning jobs in Atlanta?
Yes, though availability varies by role type. About 100% of machine learning openings tied to Atlanta are remote or hybrid as of November 2026, reflecting how common fully desk-based and analytical work is in this field. In Atlanta specifically, roles at SaaS companies and data consultancies tend to offer the most flexibility, while positions at banks and health systems more often require on-site presence.
How can I get a machine learning job in Atlanta with little or no experience?
The most realistic entry path in Atlanta is through data analyst or analytics engineer roles at mid-size fintech or health tech companies, where ML work is adjacent and employers are more open to growing talent internally. Atlanta's Georgia Tech pipeline means many teams are accustomed to hiring recent graduates into junior ML or data science roles. Building a portfolio with real datasets, contributing to open-source projects, and targeting companies in growth stages rather than large enterprises improves your odds significantly.
Which industries hire the most machine learnings in Atlanta?
The sectors hiring the most machine learnings in Atlanta are Technology & Software, based on current listings on Migrate Mate as of November 2026. Atlanta's role as a major hub for payment processing, insurance technology, and hospital systems means those industries consistently generate the highest volume of ML openings in the city.
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