Machine Learning Visa Sponsorship Jobs in Georgia
Georgia's machine learning job market centers on Atlanta, where employers like NCR Voyix, Cox Enterprises, and Delta Air Lines sponsor work visas for ML engineers and data scientists. Georgia Tech's research pipeline and the state's growing fintech and logistics sectors create consistent demand for machine learning talent requiring H-1B visa and other visa sponsorship.
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Get Access To All JobsMachine Learning Engineer
KSB GIW, Inc.
Department: Engineering, Research & Development
Reports to: Metallurgical and Materials R&D Lab Manager
Location: Grovetown, GA, USA (onsite)
Shift: First
FLSA Status: Salary Exempt
Overview:
Our R&D group is expanding its use of machine learning to solve real engineering problems, and we’re looking for a sharp, hands-on early-career engineer to join the team.
You’ll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them. The role lives where machine learning meets scientific computing: surrogate modeling, data-driven approximations of physical systems, and ML models that respect the underlying engineering principles.
You’ll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical lead who will guide your growth across data engineering, scientific ML, and emerging AI tooling.
Responsibilities:
- Build and maintain the data foundation: ingestion, cleaning, transformation, validation, and metadata standards
- Implement and train machine learning models using Python and modern frameworks (PyTorch)
- Contribute to applied AI tooling that supports the broader R&D workflow
- Develop visualization and dashboard interfaces that present results to end users
- Run experiments, track results, and report findings against defined targets
- Help bring prototype code to production quality: testing, documentation, version control
- Collaborate with team members across engineering disciplines
QUALIFICATIONS
-
Education: Bachelor’s degree required; master’s preferred in Computer Science, Engineering, Applied Math, Physics, or a related field
-
Experience: 1–3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing
SKILLS / COMPETENCIES
Required:
- Solid Python skills with hands-on experience using core libraries:
- Machine learning: PyTorch, scikit-learn
- Data: NumPy, pandas
- Scientific computing: SciPy, Matplotlib
- Foundational understanding of scientific computing: numerical methods, simulation concepts, or modeling of physical systems — this is essential to the role
- Foundational understanding of neural networks, model training, and optimization
- Experience with version control (Git) and working in a Linux environment
- Strong written and verbal communication skills
- Collaborative, coachable attitude
Preferred:
- Experience building and maintaining data pipelines, metadata schemas, and data quality frameworks
- Exposure to scientific / physics-informed machine learning (surrogate modeling, embedding physical constraints into ML models)
- Background in CFD, simulation, computational mechanics, or applied physics
- Familiarity with agentic AI / LLM frameworks (LangChain, LangGraph, or similar) enough to collaborate effectively, not lead
- Experience with Jupyter, Docker, MLflow, or FastAPI
- Front-end / dashboard development experience (React)
- Cloud compute (AWS or Azure) and GPU-based training
- Coursework or research projects in numerical methods, engineering, or applied science
Physical Requirements:
- Primarily desk-type duty
KSB Group is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. KSB makes hiring decisions based solely on qualifications, merit, and business needs at the time.
We value employees who take the initiative and are committed to our company; Employees who take responsibility and for whom business success is the focus of their actions. In return, we offer fair framework conditions for collective wages and pensions, flexible working time models, individual training opportunities and the best career prospects.
Machine Learning Engineer
KSB GIW, Inc.
Department: Engineering, Research & Development
Reports to: Metallurgical and Materials R&D Lab Manager
Location: Grovetown, GA, USA (onsite)
Shift: First
FLSA Status: Salary Exempt
Overview:
Our R&D group is expanding its use of machine learning to solve real engineering problems, and we’re looking for a sharp, hands-on early-career engineer to join the team.
You’ll work at the intersection of machine learning and the physical world to build AI systems that learn from real industrial data and connect with the engineering models behind them. The role lives where machine learning meets scientific computing: surrogate modeling, data-driven approximations of physical systems, and ML models that respect the underlying engineering principles.
You’ll build the data foundation that powers this work, implement and train models that bridge physics-based simulation with modern machine learning, and work closely with an experienced technical lead who will guide your growth across data engineering, scientific ML, and emerging AI tooling.
Responsibilities:
- Build and maintain the data foundation: ingestion, cleaning, transformation, validation, and metadata standards
- Implement and train machine learning models using Python and modern frameworks (PyTorch)
- Contribute to applied AI tooling that supports the broader R&D workflow
- Develop visualization and dashboard interfaces that present results to end users
- Run experiments, track results, and report findings against defined targets
- Help bring prototype code to production quality: testing, documentation, version control
- Collaborate with team members across engineering disciplines
QUALIFICATIONS
-
Education: Bachelor’s degree required; master’s preferred in Computer Science, Engineering, Applied Math, Physics, or a related field
-
Experience: 1–3 years of professional or substantial project experience in machine learning, data engineering, or scientific computing
SKILLS / COMPETENCIES
Required:
- Solid Python skills with hands-on experience using core libraries:
- Machine learning: PyTorch, scikit-learn
- Data: NumPy, pandas
- Scientific computing: SciPy, Matplotlib
- Foundational understanding of scientific computing: numerical methods, simulation concepts, or modeling of physical systems — this is essential to the role
- Foundational understanding of neural networks, model training, and optimization
- Experience with version control (Git) and working in a Linux environment
- Strong written and verbal communication skills
- Collaborative, coachable attitude
Preferred:
- Experience building and maintaining data pipelines, metadata schemas, and data quality frameworks
- Exposure to scientific / physics-informed machine learning (surrogate modeling, embedding physical constraints into ML models)
- Background in CFD, simulation, computational mechanics, or applied physics
- Familiarity with agentic AI / LLM frameworks (LangChain, LangGraph, or similar) enough to collaborate effectively, not lead
- Experience with Jupyter, Docker, MLflow, or FastAPI
- Front-end / dashboard development experience (React)
- Cloud compute (AWS or Azure) and GPU-based training
- Coursework or research projects in numerical methods, engineering, or applied science
Physical Requirements:
- Primarily desk-type duty
KSB Group is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.
This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. KSB makes hiring decisions based solely on qualifications, merit, and business needs at the time.
We value employees who take the initiative and are committed to our company; Employees who take responsibility and for whom business success is the focus of their actions. In return, we offer fair framework conditions for collective wages and pensions, flexible working time models, individual training opportunities and the best career prospects.
Machine Learning Job Roles in Georgia
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Search Machine Learning Jobs in GeorgiaMachine Learning Jobs in Georgia: Frequently Asked Questions
Which companies sponsor visas for machine learning roles in Georgia?
Major Georgia-based employers with documented H-1B sponsorship for machine learning roles include NCR Voyix, Cox Enterprises, Delta Air Lines, and Intercontinental Exchange (ICE). Consulting firms like Deloitte and Accenture, which maintain large Atlanta offices, also sponsor ML engineers regularly. Georgia Tech's affiliated research centers and healthcare systems like Emory Healthcare and Grady Health System have hired sponsored ML talent as well.
Which visa types are most common for machine learning roles in Georgia?
The H-1B is the most common visa for machine learning roles in Georgia, as ML engineer and data scientist positions typically qualify as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. Candidates with advanced degrees may also be eligible for the H-1B cap exemption if employed by a university or nonprofit research institution. The O-1A is an option for applicants with demonstrated exceptional achievement in ML research or published work.
Which cities in Georgia have the most machine learning sponsorship jobs?
Atlanta accounts for the overwhelming majority of machine learning sponsorship jobs in Georgia, driven by its concentration of Fortune 500 headquarters, fintech companies, and logistics firms. Midtown Atlanta in particular has emerged as a technology hub, partly due to proximity to Georgia Tech. Smaller concentrations of ML roles exist in Alpharetta, which hosts numerous technology company offices, and in Athens near the University of Georgia.
How to find machine learning visa sponsorship jobs in Georgia?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and lets you filter machine learning jobs by state, so you can focus directly on Georgia employers actively sponsoring. Because ML hiring in Georgia is concentrated in Atlanta's fintech, logistics, and enterprise technology sectors, filtering by those industries on Migrate Mate can help you target employers with established sponsorship track records rather than applying broadly.
Are there state-specific considerations for machine learning professionals seeking sponsorship in Georgia?
Georgia Tech's graduate programs produce a significant share of local ML talent, which means sponsored candidates are often competing against a deep pool of local OPT and CPT workers already embedded with Georgia employers. Employers in Georgia's fintech corridor, particularly those handling financial data, may require additional background clearances that can affect hiring timelines for sponsored workers. Prevailing wage requirements for ML roles are determined by the Department of Labor based on the specific job location and level, not by state policy.
What is the prevailing wage for sponsored machine learning 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.