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Model Engineering Jobs (NOW HIRING)

JOB SUMMARY Lead model architecture design and advanced statistical implementation while driving ... Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related ...

AI Model Engineer

Ashburn, VA · On-site

$125K - $150K/yr

Minimum Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field ... Strong understanding of model evaluation metrics (e.g., precision, recall, F1) and statistical ...

$150 - $200/hr

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 ...

Manager, Site Reliability Engineering

Buffalo, NY · On-site

$55.25 - $73.50/hr

Establishes the enterprise SRE strategy, operating model, engineering standards, governance, talent model, and adoption roadmap. Accountable for improving service reliability, availability ...

AI Model Developer

Austin, TX · On-site

$150 - $200/hr

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

Manager, Site Reliability Engineering

Buffalo, NY · On-site

$55.25 - $73.50/hr

Establishes the enterprise SRE strategy, operating model, engineering standards, governance, talent model, and adoption roadmap. Accountable for improving service reliability, availability ...

Virtual Hardware Model EngineerSkip to main content#Virtual Hardware Model Engineer page is loaded ... Bachelor's degree in Engineering, Math, Physics, Computer Science, or other relevant degree*

Required : • Bachelor's degree in engineering or related field • Minimum 5 years of AI/ML ... AI models and systems. • 2 years of prior experience in model validation or model audit • 2 ...

CWMD Model Programmer

Alexandria, VA · On-site

$150 - $200/hr

MC Responsibilities The CWMD Model Programmer uses advanced programming languages to model CBRN effects applied to air operations. The CMP will develop frameworks for incorporating scientific data ...

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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 Sep 9, 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 are popular job titles related to Model Engineering jobs?

For Model Engineering jobs, the most frequently searched job titles are:

Infographic showing various Model Engineering job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $65,246 per year, or $31.4 per hour.

Senior Model Developer 1

Chicago, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

Overview

About Us

Do great things in uncharted territory and experience the excitement of taking your career to new heights at INSIGHT2PROFIT, a rapidly growing leader in pricing and profitability consulting and technology. At INSIGHT, smart and ambitious people just like you are transforming the way businesses think and operate to achieve extraordinary outcomes. With our proven business model and your fresh perspective, you'll have the opportunity to take on a highly visible role, make a meaningful impact, and help steer our company towards even greater heights. Join us today and take your career to and take your career to the next level with INSIGHT!

JOB SUMMARY

Lead model architecture design and advanced statistical implementation while driving pricing strategy and methodology across multiple client engagements. Senior Model Developer I roles architect scalable, high-performance pricing model solutions using the Calc 2.0 framework, establish technical standards for model development, and mentor developers across experience levels.

MAJOR RESPONSIBILITIES

  • Architect scalable, high-performance model solutions and establish technical standards for model development.
  • Drive implementation of advanced pricing strategies and optimization algorithms across multiple client engagements.
  • Lead statistical validation frameworks and implement advanced ML algorithms for pricing optimization.
  • Design and optimize complex data integration patterns and establish performance standards for production models.
  • Lead cross-functional technical initiatives and coordinate with Data Science Group on advanced analytics approaches.
  • Establish model development best practices, documentation standards, and quality assurance frameworks.
  • Mentor multiple developers across different experience levels and drive technical skill development.
  • Contribute to business development by providing technical expertise in pricing methodology and model capabilities.
  • All team members are expected to support the organization's commitment to information security, confidentiality, and system reliability. This includes following established policies and procedures, safeguarding sensitive and client information, reporting potential security concerns, and supporting incident response or business continuity efforts as needed.
  • Additional responsibilities as needed to support team and business priorities.

 

JOB REQUIREMENTS

Education      

Minimum:        Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative discipline.

Preferred:         Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related quantitative field.

Work Experience      

Minimum:       

  • 6+ years of professional Python development experience, including production model or analytics systems.
  • Demonstrated experience leading technical implementation across multiple concurrent projects.
  • Experience mentoring and providing code review across experience levels.

      Preferred:        

  • Experience contributing to framework, platform, or shared library development used by other engineering teams.
  • Hands-on experience with pricing models, statistical modeling, or quantitative analytics in a business context.
  • Consulting or client-facing experience translating business pricing requirements into technical solutions.
  • Track record of establishing development standards, best practices, or technical roadmaps within an organization.

Required Skills, Knowledge, and Abilities            

Minimum:       

  • Expert-level Python programming with deep understanding of performance optimization, advanced design patterns, and scalable architectures.
  • Deep expertise in pricing strategy, advanced optimization techniques, dynamic pricing, and complex business rule implementation.
  • Advanced statistical modeling including multivariate analysis, advanced ML algorithms, model validation, and statistical inference.
  • Expert knowledge of data architecture, complex data integration patterns (Cosmos DB, SQL), and production data pipeline optimization.
  • Experience with solution architecture patterns, scalable system design, and performance monitoring frameworks.
  • Strong understanding of Azure cloud architecture, advanced security patterns, and enterprise deployment strategies.
  • Ability to translate complex business requirements into technical solutions and drive technical decision-making.
  • Proficiency with Git, GitHub Workflows, and CI/CD practices for production model deployment.

    Preferred:        

  • Experience with Kedro, Databricks, or comparable data engineering frameworks at production scale.
  • Familiarity with emerging ML/AI platforms and modern analytics tooling relevant to pricing and optimization.
  • Experience driving cross-team technical initiatives or contributing to enterprise architecture decisions.
  • Public speaking, technical writing, or thought-leadership experience in pricing, ML, or data science communities.
  • Demonstrated ability to coach Model Developer I/II engineers toward promotion-ready performance.

Compensation: The annual salary range for this position is $120,000 - $145,000, commensurate with skills and relevant experience. Employees may also be eligible to participate in the annual discretionary bonus program.

Benefits & Dynamic Rewards: Enjoy industry-leading benefits and programs designed to enhance wellness and support work-life harmony.  Specifically, we offer a comprehensive benefits package including medical, dental and vision coverage (available from your start date), a 401(k) plan with company contribution, generous paid time off, and a range of professional development opportunities including a tuition reimbursement program. Eligible employees may also participate in annual merit increases and long-term incentive program.

You'll enjoy far-reaching rewards at INSIGHT. Competitive compensation and benefits, a Long-Term Incentive Plan that creates shared financial benefits from company growth, and an attractive bonus system, are just the beginning at an organization that ranks as an Inc. Best Workplaces 2023, and among the Inc. 5000 list of fastest-growing private U.S. companies.

INSIGHT offers an appealing environment for self-directed individuals who embrace opportunity in all areas of work and life. If you are seeking the excitement of an entrepreneurial organization with a track record of accomplishment and phenomenal growth, take a closer look at INSIGHT.Career breakthroughs like this don't come along every day. Apply and tell us how you'll help us shape the direction of a booming industry.

The purpose of this document is to describe the general nature and level of work performed by team members classified in this role; it is not intended to serve as an inclusive list of all responsibilities associated with the position.

INSIGHT2PROFIT is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.

INSIGHT2PROFIT isinterested in every qualified candidate who is eligible to work in the United States. However, we are not able to sponsor visas. This includes individuals with OPT or STEM OPT.

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Employment Type: FULL_TIME