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Mathematical Engineer Jobs in Georgia (NOW HIRING)

Required : • Master's or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field. • 10+ years of experience in AI/machine learning model validation, model risk ...

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Mathematical Engineer information

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$30.8K

$90.6K

$116.1K

How much do mathematical engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for mathematical engineer in Georgia is $90,587.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,700.00 and $114,800.00 per year, depending on experience, location, and employer.

What is a mathematical engineer?

A Mathematical Engineer applies advanced mathematical concepts, computational techniques, and algorithms to solve complex engineering and technical problems. They work in various industries such as finance, data science, cryptography, and simulation modeling. Their role involves designing mathematical models, optimizing systems, and analyzing large datasets to improve efficiency and decision-making. They often collaborate with engineers, scientists, and analysts to develop innovative solutions for real-world challenges.

What are the key skills and qualifications needed to thrive as a mathematical engineer?

To thrive as a Mathematical Engineer, you need a strong background in advanced mathematics, mathematical modeling, and engineering principles, usually supported by a degree in mathematics, engineering, or a related field. Proficiency with programming languages such as MATLAB, Python, or R, and familiarity with simulation or modeling software is often expected. Exceptional problem-solving abilities, effective communication, and teamwork skills are highly valued in this interdisciplinary role. These competencies enable Mathematical Engineers to develop robust solutions for complex engineering challenges and collaborate successfully with diverse technical teams.

What are common challenges faced by mathematical engineers in their daily work?

Mathematical Engineers often tackle challenges such as translating real-world engineering problems into precise mathematical models and ensuring those models accurately represent system behaviors. Working with large datasets, complex algorithms, or advanced simulations requires strong analytical skills and attention to detail. Close collaboration with other engineers, researchers, and technical experts is common, so balancing technical depth with clear communication can be demanding but rewarding. Overcoming these challenges helps Mathematical Engineers deliver impactful, data-driven solutions in industries like aerospace, finance, or manufacturing.

What does a mathematical engineer do?

A mathematical engineer applies advanced mathematical techniques and models to solve complex problems in engineering, science, and technology. They often work with data analysis, simulations, and algorithm development using tools like MATLAB or Python, and may be involved in research, product development, or optimization tasks.

What are the most commonly searched types of Mathematical Engineer jobs in Georgia?

The most popular types of Mathematical Engineer jobs in Georgia are:

What job categories do people searching Mathematical Engineer jobs in Georgia look for?

The top searched job categories for Mathematical Engineer jobs in Georgia are:

Infographic showing various Mathematical Engineer job openings in Georgia as of August 2026, with employment types broken down into 85% Full Time, 4% Part Time, 8% Contract, and 3% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $90,587 per year, or $43.6 per hour.

AI Model Validation Lead, GenAI

AIG

Atlanta, GA • On-site

Full-time

Re-posted 12 days ago


AIG rating

8.4

Company rating: 8.4 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

120th of 310 rated insurance


Job description

Job Summary:
AIG is making long-term investments in a new Generative AI team to explore innovative applications of artificial intelligence in insurance and beyond. The AI Model Validation Lead will ensure the accuracy, robustness, and ethical compliance of AI models, working closely with data scientists and engineers to validate models and recommend improvements.
Responsibilities:
• Design and execute comprehensive model validation strategies, including quantitative and qualitative assessments.
• Review model development documentation, code, and datasets for correctness, completeness, and compliance with regulatory standards.
• Conduct independent testing of AI models, evaluating performance metrics, sensitivity analyses, and stress testing outcomes.
• Actively challenge assumptions, data quality, and methodology used to build and implement models
• Identify and communicate model risks, limitations, and potential biases to stakeholders, ensuring transparency and accountability.
• Collaborate with cross-functional teams to refine modeling approaches and support continuous improvement.
• Prepare clear validation reports and audit trails for review and internal governance.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field.
• 10+ years of experience in AI/machine learning model validation, model risk management, or related roles.
• Expertise in supervised and unsupervised learning techniques, deep learning, natural language processing, and statistical modeling.
• Proficiency in programming languages such as Python, R, or Java, and familiarity with ML frameworks.
• Strong knowledge of data governance, ethical AI principles, and regulatory requirements impacting AI models (e.g., GDPR, Fair Lending, Basel II/III).
• Experience with model validation tools, version control, and documentation best practices.
• Excellent analytical, problem-solving, and written communication skills.
• Ability to manage multiple projects and deadlines, working both independently and as part of a team.
Preferred:
• Prior experience in insurance and/or financial services, healthcare, or regulated industries.
• Certification in model risk management or AI ethics (e.g., SAS Certified AI & Machine Learning Professional).
• Demonstrated ability to lead complex validation projects and mentor junior team members.
Company:
American International Group provides property insurance, life insurance, and financial services. Founded in 1919, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What AIG employees say

Pay

Benefits

Hours and flexibility

Workplace

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About AIG

Sourced by ZipRecruiter

American International Group, Inc. (AIG) is a leading global insurance organization. Building on 100 years of experience, today AIG member companies provide a wide range of property casualty insurance, life insurance, retirement solutions, and other financial services to customers in more than 80 countries and jurisdictions. These diverse offerings include products and services that help businesses and individuals protect their assets, manage risks and provide for retirement security.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1919