Fintech E-3 Sponsorship Jobs in Georgia
Georgia's fintech sector is one of the most active in the country, with Atlanta serving as a major payments and financial technology hub. Companies like Fiserv, NCR Atleos, Global Payments, and Kabbage have significant operations here. Australian professionals pursuing E-3 visa sponsorship will find strong demand for specialized fintech roles across payments, banking technology, and financial data.
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Intuit is looking for an innovative and hands-on Staff AI Scientist to join the Intuit AI team. Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.
Responsibilities
- Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
- Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
- Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
- Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.
- Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
- Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
- Communicates with partners to ensure successful delivery and integration of DS solutions.
- Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.
Qualifications
- 4+ years of industry experience with AI science
- BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
- 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
- Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
- Proficient in NLP techniques, Explainable AI, and ML frameworks.
- Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
- Efficient in SQL, Hive, SparkSQL, etc.
- Comfortable working in a Linux environment
- Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
- Quick learner, adaptable, with the ability to work independently in a fast-paced environment
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
Overview
Intuit is looking for an innovative and hands-on Staff AI Scientist to join the Intuit AI team. Come join our collaborative and creative group of AI scientists and machine learning engineers and build models that directly affect hundreds of thousands of our customers. In this role you will be building and deploying machine learning models using both analytical algorithms and deep learning approaches.
Responsibilities
- Practices leadership and communication skills to influence teams and to evangelize AI science across the organization
- Collaborates with stakeholders to define success criteria and align model metrics with business goals. Works side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products
- Leads technical work of a scrum team: initiating and designing model solutions, driving end-to-end architecture designs of the team’s work, and holding the team accountable for high quality code, git, design, costs and implementation standards
- Performs hands-on data analysis and modeling with large data sets, including discovering data sources, getting data access, cleaning up data, and making them “model-ready”. You need to be willing and able to do your own ETL and design/build featurization.
- Applies data mining, NLP, and machine learning (such as supervised/unsupervised, Causal-ML, Online Learning, Bayesian Learning, Reinforcement Learning, or Deep Learning) to real-world problems and datasets.
- Runs A/B tests to draw conclusions on the impact of your team’s work and communicates results to peers and leaders
- Communicates with partners to ensure successful delivery and integration of DS solutions.
- Proactively researches, explores, and enables new ML technologies. Keeps up with the new developments in academia and industry and considers possible extensions to solve Intuit customer problems.
Qualifications
- 4+ years of industry experience with AI science
- BS, MS or PhD in Statistics, Mathematics, Computer Science, Economics, Operations Research, or equivalent
- 4+ years of hands-on expertise in ML paradigms such as Causal-ML, supervised/unsupervised, Online, Bayesian, Reinforcement or Deep Learning.
- Proficient in multiple optimization paradigms such as combinatorial optimization, gradient methods, or Bayesian optimization.
- Proficient in NLP techniques, Explainable AI, and ML frameworks.
- Expertise in modern advanced analytical tools and programming languages such as Python, Scala, Java and/or R.
- Efficient in SQL, Hive, SparkSQL, etc.
- Comfortable working in a Linux environment
- Experience with building end-to-end reusable pipelines from data acquisition to model output delivery
- Quick learner, adaptable, with the ability to work independently in a fast-paced environment
- Strong oral and written communication skills. Ability to conduct meetings and make professional presentations, and to explain complex concepts and technical material to non-technical users
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
E-3 Fintech Job Roles in Georgia
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Search Fintech Jobs in GeorgiaFintech E-3 Sponsorship Jobs in Georgia: Frequently Asked Questions
Which fintech companies in Georgia sponsor E-3 visas?
Georgia is home to several large fintech employers with established visa sponsorship programs, including Global Payments, Fiserv, NCR Atleos, and Cardlytics, all headquartered or significantly based in Atlanta. Larger financial technology firms generally have dedicated HR and immigration infrastructure, making them more likely to support E-3 visa sponsorship than smaller startups. That said, sponsorship decisions are made case by case and are never guaranteed.
Which cities in Georgia have the most fintech E-3 sponsorship jobs?
Atlanta accounts for the overwhelming majority of Georgia's fintech hiring, particularly in the Buckhead, Midtown, and Alpharetta corridors where payments and banking technology firms cluster. Alpharetta is sometimes called the 'Transaction Alley' of the U.S. due to the concentration of payments companies. Outside Atlanta, fintech opportunities in Georgia drop off significantly, so most E-3 applicants will be targeting roles in the metro area.
What types of fintech roles typically qualify for E-3 sponsorship in Georgia?
E-3 sponsorship requires the role to qualify as a specialty occupation, meaning it must normally require at least a bachelor's degree in a specific field. In Georgia's fintech sector, roles that commonly meet this standard include software engineers, data scientists, financial analysts, product managers with quantitative backgrounds, cybersecurity engineers, and compliance analysts. Generalist or sales-support roles without a defined degree requirement are less likely to qualify.
How do I find fintech E-3 sponsorship jobs in Georgia?
Migrate Mate is built specifically for this search. You can filter by E-3 visa type and the fintech industry to surface Georgia-based roles at companies with a history of sponsoring Australian professionals. Because E-3 sponsorship depends on the employer being willing to file a Labor Condition Application, focusing on employers already familiar with the process saves significant time. Migrate Mate's job board filters are designed to make that targeting straightforward.
Are there any Georgia-specific considerations for fintech E-3 sponsorship?
Georgia does not impose state-level visa or work authorization requirements beyond federal obligations, but fintech roles in payments and banking may involve background checks or financial industry licensing that can affect hiring timelines. Some roles at companies handling regulated financial products may require FINRA registrations, which take time to obtain after hire. Factoring these into your timeline is worth discussing with a prospective employer before the E-3 application process begins.
What is the prevailing wage for E-3 fintech jobs in Georgia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.