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Model Engineering Jobs (NOW HIRING)

Vanguard Group, Inc.

Model Validation

Malvern, PA · On-site

You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative ...

Ericsson

AI Model Developer

Austin, TX · On-site

Partner with software engineering teams to integrate models into production environments * Identify performance bottlenecks and recommend optimization strategies * Document model designs, assumptions ...

Meditology Services LLC

Engineering Manager

Atlanta, GA · On-site

$150K - $170K/yr

Operating Model * Acts as the central point of accountability for day-to-day feature delivery and technical operations * Serves as the engineering counterpart to the Director of Product Management ...

Intrepidgs

AI/ML Model Engineer

Mclean, VA · On-site

Test model performance and refine algorithms. * Monitor AI-driven systems in production ... Bachelor's degree in engineering or related field * Minimum 5 years of AI/ML expertise and ...

NC SECU

Model Risk Analyst

Raleigh, NC · Hybrid

Advanced programming skills in a statistical programming language, such as SAS, R, or Python. Ability to write computer code to perform analysis on complex modeling and analytical challenges and to ...

OLI

Thermodynamic Model Developer

Parsippany, NJ · On-site

We're seeking a Specialist in Chemical Engineering Thermodynamics who's driven to advance and deploy high-fidelity predictive models. As a member of our Research and Database team, you will tackle ...

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Model Engineering information

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$10

$31

$67

How much do model engineering jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for model engineering in the United States is $31.37, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $39.18 per hour, depending on experience, location, and employer.

What is model engineering?

Model engineering is the discipline of designing, building, and testing scale models of machines, engines, and mechanical systems, often as a hobby or for educational purposes. It involves applying engineering principles to create functional replicas, usually of steam engines, locomotives, or other mechanical devices. Model engineers use skills in machining, metalworking, and problem-solving to bring detailed plans to life. The field combines creativity, craftsmanship, and technical knowledge, and is popular among enthusiasts who enjoy both the process and the finished models.

What are the key skills and qualifications needed to thrive as a model engineer, and why are they important?

To thrive as a Model Engineer, you need a solid background in mechanical engineering principles, precision fabrication, and often a relevant engineering degree or technical training. Familiarity with CAD software, CNC machines, lathes, and other fabrication tools is typically required, along with any relevant safety certifications. Attention to detail, creativity, and strong problem-solving skills help set outstanding model engineers apart. These skills ensure that accurate, functional, and high-quality models or prototypes are produced efficiently and safely.

What are some typical challenges faced by model engineers when collaborating with cross-functional teams?

Model engineers often work closely with data scientists, product managers, and software engineers to develop and deploy machine learning models. A common challenge is ensuring clear communication across teams with different technical backgrounds, especially when translating complex model requirements into actionable development tasks. Additionally, balancing accuracy and performance with business needs can be demanding, requiring model engineers to find practical solutions that align with project goals. Regular meetings and thorough documentation are essential to streamline collaboration and overcome these hurdles.

What is the difference between Model Engineering vs Mechanical Engineering?

AspectModel EngineeringMechanical Engineering
CredentialsTypically requires specialized training or certifications in model making and designRequires a bachelor's degree or higher in mechanical engineering or related fields
Work EnvironmentHobbyist workshops, small-scale manufacturing, or specialized model shopsIndustrial facilities, engineering firms, manufacturing plants
Industry UsageUsed in hobbyist communities, model railroads, and small-scale prototypesApplied across various industries including automotive, aerospace, and manufacturing

Model Engineering focuses on creating detailed, small-scale models often as a hobby or for prototypes, requiring specialized skills and certifications. Mechanical Engineering covers a broad range of industrial applications, involving design, analysis, and manufacturing of mechanical systems. While both involve mechanical principles, Model Engineering is more specialized and hobby-oriented, whereas Mechanical Engineering is a comprehensive, industry-wide profession.

What does a model engineering do?

A model engineer designs, builds, and maintains detailed scale models, often of machinery, vehicles, or architectural structures. They use skills in drafting, machining, and assembly, frequently working with tools like lathes and CNC machines in workshops or labs. Model engineers may also create technical drawings and ensure models meet precise specifications.
More about Model Engineering jobs

What states have the most Model Engineering jobs?

States with the most job openings for Model Engineering jobs include:

What job categories do people searching Model Engineering jobs look for?

The top searched job categories for Model Engineering jobs are:

Model Engineering jobs near you
Infographic showing various Model Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Model Validation

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Re-posted 8 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 150 rated financial services

Job description

Overview
The Model Risk Management (MRM) Team, part of Vanguard's second line of defense, is seeking a quantitative model risk professional to support the independent oversight of models used across Vanguard's Investment Management Group (IMG).
Vanguard is a global investment management firm with a mission to give investors the best chance for investment success. Through IMG, Vanguard designs, manages, and oversees active and passive investment strategies across asset classes, investment vehicles, and geographies. These activities rely on a broad range of quantitative models, including alpha and signal models, portfolio construction and optimization models, risk models, trading models, asset allocation models, and AI/ML-enabled investment workflows.
In this role, you will perform independent validation and effective challenge of investment models, helping ensure that models are conceptually sound, appropriately governed, and fit for purpose. You will work closely with quantitative researchers, data scientists, portfolio managers, model developers, and technology partners, providing credible challenge while building strong collaborative relationships across the business.
Beyond individual model reviews, you will contribute to the continued evolution of Vanguard's model risk management framework, methodologies, standards, and practices across both traditional quantitative models and AI/ML-driven solutions.
Core Responsibilities
  • Perform independent validation of investment models across major asset classes, including alpha/signal models, portfolio construction and optimization models, risk models, trading models, asset allocation models, and AI/ML-enabled investment workflows.
  • Provide effective challenge of model assumptions, methodologies, data, implementation, controls, limitations, and performance monitoring frameworks.
  • Produce high-quality validation reports and communicate findings clearly to both technical and non-technical stakeholders.
  • Develop and enhance validation methodologies, procedures, and testing approaches to support consistent and risk-based model oversight.
  • Contribute to the design and enhancement of model risk management policies, standards, and procedures across the model lifecycle.
  • Advise stakeholders on model risk governance, validation expectations, and emerging industry practices.
  • Remain current on developments in quantitative investing, model validation, AI/ML, and model governance.
  • Partner effectively across investment, technology, risk, and control functions.
  • Participate in special projects and broader MRM initiatives as needed.

Qualifications
  • Master's or PhD degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, Physics, Finance, Data Science, or a related field (or equivalent combination of education and relevant experience).
  • 3+ years of relevant experience, ideally 7+ years, in model development, quantitative research, model validation, model risk management, or a related field.
  • Experience in asset management, investment research, quantitative investing, or financial services.
  • Strong knowledge in one or more areas such as:
    • Equities
    • Fixed Income
    • Portfolio Construction & Optimization
    • Alpha/Signal Research
    • Risk Modeling
    • Machine Learning and AI Applications
  • Experience developing, testing, reviewing, or validating quantitative and/or AI/ML models.
  • Programming experience in Python and/or similar analytical languages.
  • Familiarity with cloud, MLOps, CI/CD, or modern model development environments is preferred.
  • Familiarity with third-party investment and risk platforms (e.g., Barra, Axioma, Aladdin) is a plus.
  • Strong analytical, communication, and stakeholder management skills.
  • Demonstrated intellectual curiosity, sound judgment, and willingness to learn and evolve in a rapidly changing environment.
  • Prior people leadership experience is a plus but not required.

Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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