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Uncertainty Quantification Jobs in Raleigh, NC (NOW HIRING)

ARA

Research Engineer - AI/ML

Raleigh, NC · On-site

Experience in one or more of the following areas: machine learning, physics-based modeling, simulation and optimization, uncertainty quantification, surrogate modeling and model reduction, computer ...

ARA

Senior Research Engineer - AI/ML

Raleigh, NC · On-site

$181K/yr

Experience in one or more of the following areas: machine learning, physics-based modeling, simulation and optimization, uncertainty quantification, surrogate modeling and model reduction, computer ...

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Uncertainty Quantification information

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$29.2K

$67.5K

$117.6K

How much do uncertainty quantification jobs pay per year?

As of Jun 11, 2026, the average yearly pay for uncertainty quantification in Raleigh, NC is $67,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $80,700.00 per year, depending on experience, location, and employer.

What is Uncertainty Quantification?

Uncertainty Quantification (UQ) is the science of quantifying, managing, and reducing uncertainties in computational models and real-world systems. It involves identifying sources of uncertainty in data, model parameters, and algorithms, then using statistical and mathematical methods to assess their impact on model predictions. UQ is essential in fields like engineering, finance, and environmental science to ensure that predictions and decisions are robust and reliable. Practitioners use techniques such as sensitivity analysis, probabilistic modeling, and Monte Carlo simulations to quantify and analyze uncertainties.

What are some common challenges faced by professionals in Uncertainty Quantification when working on multidisciplinary teams?

Professionals in Uncertainty Quantification (UQ) often collaborate with experts from fields like engineering, data science, and physics. A common challenge is communicating complex statistical concepts in an accessible way to team members without a quantitative background. Additionally, integrating uncertainty models into existing workflows and ensuring that all stakeholders understand how uncertainty impacts decision-making can be demanding. Effective UQ professionals are proactive in facilitating clear communication and tailoring their approach to fit the needs of diverse teams.

What is the difference between Uncertainty Quantification vs Data Scientist?

AspectUncertainty QuantificationData Scientist
Required credentialsAdvanced degrees in engineering, mathematics, or statisticsDegree in computer science, statistics, or related fields
Work environmentResearch labs, engineering firms, simulation-based industriesTech companies, finance, healthcare, and marketing
Industry usageEngineering, aerospace, manufacturing, scientific researchBusiness analytics, product development, predictive modeling

Uncertainty Quantification focuses on assessing and reducing uncertainty in models and simulations, often requiring advanced mathematical skills. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles involve statistics and data analysis, Uncertainty Quantification is more specialized in modeling uncertainties in engineering and scientific contexts, whereas Data Scientists work across diverse industries with a broader focus on data-driven insights.

What are the key skills and qualifications needed to thrive as an Uncertainty Quantification Specialist, and why are they important?

To thrive as an Uncertainty Quantification Specialist, you need a strong background in applied mathematics, statistics, and computational modeling, often supported by an advanced degree in a quantitative field. Familiarity with programming languages such as Python or MATLAB, and experience with simulation tools and statistical analysis software, are typically required. Strong problem-solving skills, attention to detail, and effective communication help professionals convey complex concepts to interdisciplinary teams. These skills are crucial for accurately assessing risks, making data-driven decisions, and improving the reliability of models in engineering, finance, or scientific research.
What are popular job titles related to Uncertainty Quantification jobs in Raleigh, NC? For Uncertainty Quantification jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Uncertainty Quantification jobs in Raleigh, NC look for? The top searched job categories for Uncertainty Quantification jobs in Raleigh, NC are:
Uncertainty Quantification jobs near you
Infographic showing various Uncertainty Quantification job openings in Raleigh, NC as of June 2026, with employment types broken down into 1% As Needed, 44% Full Time, 54% Part Time, and 1% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $67,515 per year, or $32.5 per hour.

Senior Research Engineer - AI/ML

Berriehill Research

Raleigh, NC

$181K/yr

Full-time

Posted 4 days ago

Job description

Applied Research Associates, Inc. (ARA) is actively seeking a highly qualified Research Engineer for the development of advanced AI/ML algorithms for the Intelligence and Defense communities. Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and intelligent agents. The scientist / engineer will join a multi-disciplinary collaborative team of engineers and scientists.

We are seeking an experienced Research Engineer to join our team. The ideal candidate will have an active interest in applying math/statistics/physics/engineering concepts to solve multi-disciplinary problems. Candidate will have strong analytical skills and will be capable of translating ideas and proposed solutions into software tools and algorithms. The candidate should be familiar with improving/optimizing/tuning existing algorithms as well as development of new algorithms from scratch. This will include software design, software development, and debugging / issue resolution. The candidate should demonstrate a hands-on approach to problem solving and must be willing to actively participate in evaluation of algorithm and system performance. Strong critical thinking, problem solving, and debugging skills are required.

Scientists / engineers who are passionate about applying their expertise to solve problems of national importance, have a strong entrepreneurial spirit, and are seeking opportunities for personal and professional growth in a stable environment are strongly encouraged to apply.

Senior Research Engineer – AI/ML Position Requirements:

  • U.S. Citizenship (No exceptions; green card holders are not eligible)
  • Current TS/SCI clearance or TS/SCI eligible
  • BS in Engineering, Computer Science, Physics, Mathematics, or a related field with 10-12 years of relevant work experience
  • Experience in one or more of the following areas: machine learning, physics-based modeling, simulation and optimization, uncertainty quantification, surrogate modeling and model reduction, computer vision, and intelligent agents
  • Strong foundation in software development and experience with Python, Java, and/or C++
  • Experience going from problem statement to prototype to production-ready algorithms
  • Strong communication and collaboration skills, capable of working effectively in a dynamic, team-oriented environment

Senior Research Engineer – AI/ML Preferences:

Above all, we value passion, a continuous desire to learn, and teamwork. We are confident that if you possess the right attitude, work ethic, and skill set, you will succeed in the role. In addition to the experience and skills above, if you have any of the following, you will be able to accelerate your effectiveness and impact.

  • PhD or MS in Engineering, Computer Science, Physics, Mathematics, or a related field
  • Experience in cloud-based, parallel, or distributed computing.
  • Experience developing generative AI, agentic AI, and/or LLM-based systems
  • Experience leading small teams of researchers and engineers
  • Experience with proposal development and sponsor interactions
  • Ability and desire to quickly learn new domains.

Who is ARA?  

Do you want to work for a purpose? Applied Research Associates, Inc. (aka ARA) is an employee-owned international research and engineering company. We have been providing technically superior solutions to complex and challenging problems in the physical sciences since 1979. ARA has over 2,200 employee-owners and continues to grow rapidly. Together, our offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software and simulation, systems analysis, environmental technologies, and testing and measurement. 

ARA also prides itself, on having a challenging culture where innovation & experimentation are the norm. The motto, “Engineering and Science for Fun and Profit” sums up the ARA experience. Employee ownership ensures you have a voice in what happens in the company. We are also very proud of our Women’s Initiative Network (WIN), whose purpose is to motivate, support, and encourage professional career development for women to maximize career and professional accomplishments.  

To find out more about what the Software Enterprise Division has to offer, visit our website at: https://www.ara.com/benefits/ 

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