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Machine Learning Civil Engineering Jobs (NOW HIRING)

Sehinc

Civil Engineer

Saint Cloud, MN

$65K - $82K/yr

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Supporting members of our Civil Engineering teams. * Use of AutoCAD Civil 3D for analysis and ...

Sehinc

Civil Engineer

Minnetonka, MN

$60K - $80K/yr

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Supporting members of our Civil Engineering teams. * Use of AutoCAD Civil 3D for analysis and ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will ...

SAIC

Machine Learning Developer

Arlington, VA · Hybrid

The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will ...

Sehinc

Senior Civil Engineer

Austin, TX

... learning!" - Civil Engineer * "This is the first company I've worked for with a true ... Communicate SEH's civil engineering capabilities to prospective and current clients, establishing ...

Compunnel

Machine Learning Engineer

Plano, TX · On-site

Create scalable feature engineering workflows and production-grade machine learning assets. * Design and implement machine learning pipelines using Azure Databricks and related cloud technologies.

SAIC

Machine Learning Developer

Arlington, VA · On-site

The ideal candidate will have a strong background in computer science, software engineering, and experience with machine learning algorithms and frameworks. The Machine Learning Developer will ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

Collaborate with the engineering team to integrate machine learning solutions into projects. Stay updated on the latest machine learning technologies and trends. Develop and implement quantum machine ...

Beyond SOF

Engineer, Machine Learning

Washington, DC · On-site

Collaborate with the engineering team to integrate machine learning solutions into projects. Stay updated on the latest machine learning technologies and trends. Develop and implement quantum machine ...

Quantum Machines

Machine Learning Engineer

Boston, MA · On-site

... engineering fundamentals (architecture, Git workflows, testing, code review) • Proven track ... meta-learning- advantage Company : Quantum Machines is a leading provider of quantum control ...

Dark Wolf

Machine Learning Engineer

Herndon, VA · On-site

... engineering, model training, evaluation, and deployment. • Transform machine learning models into deployable APIs and integrate them with existing applications and infrastructure. • Collaborate ...

Full Scope

Machine Learning Engineer

Reston, VA

The ideal candidate will have a strong background in machine learning, data science, and software engineering. You will work closely with data scientists, engineers, and product managers to design ...

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Machine Learning Civil Engineering information

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$38K

$82.7K

$123K

How much do machine learning civil engineering jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning civil engineering in the United States is $82,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $98,500.00 per year, depending on experience, location, and employer.

How does a Machine Learning Civil Engineer typically collaborate with traditional civil engineering teams on infrastructure projects?

Machine Learning Civil Engineers often work closely with traditional civil engineering teams to integrate advanced data analysis into infrastructure planning, design, and maintenance. They bridge the gap between data science and engineering by interpreting complex datasets—such as sensor readings or structural health monitoring data—and providing actionable insights to project managers and design teams. Collaboration may involve regular cross-disciplinary meetings, translating technical findings into practical engineering recommendations, and developing user-friendly tools for civil engineers. This integration helps improve project outcomes, such as predicting maintenance needs or optimizing material usage, leading to more efficient and resilient infrastructure.

What are the key skills and qualifications needed to thrive as a Machine Learning Civil Engineer, and why are they important?

To thrive as a Machine Learning Civil Engineer, you need a solid background in civil engineering fundamentals, statistics, and computer science, typically supported by a relevant engineering degree and experience in data analysis. Proficiency with machine learning frameworks (such as TensorFlow or scikit-learn), programming languages (like Python or R), and civil engineering modeling software is crucial. Strong problem-solving abilities, collaboration, and effective communication help translate complex data into actionable engineering solutions. These skills are important for integrating advanced analytics into civil engineering projects, improving design accuracy, efficiency, and innovation.

What is machine learning in civil engineering?

Machine learning in civil engineering refers to the application of data-driven algorithms and computational models to solve problems related to construction, design, maintenance, and management of civil infrastructure. These techniques help analyze large datasets to predict structural behavior, optimize materials usage, detect anomalies, and automate tasks like site monitoring or inspection. By integrating machine learning, civil engineers can improve accuracy, efficiency, and safety in projects. This rapidly evolving field is transforming traditional engineering processes and enabling smarter, data-informed decision making.

What is the difference between Machine Learning Civil Engineering vs Civil Engineering?

AspectMachine Learning Civil EngineeringCivil Engineering
Required CredentialsBachelor's or Master's in Civil Engineering, plus knowledge of machine learningBachelor's or Master's in Civil Engineering
Work EnvironmentDesigning algorithms, data analysis, software development in engineering projectsDesign, construction, and maintenance of infrastructure projects
Industry UsageApplying AI to optimize infrastructure, predictive maintenanceBuilding roads, bridges, buildings, water systems

Machine Learning Civil Engineering combines civil engineering principles with machine learning skills to innovate infrastructure projects. Civil Engineering focuses on designing and constructing physical structures. While both fields require engineering knowledge, Machine Learning Civil Engineering emphasizes data analysis and AI applications, whereas Civil Engineering centers on traditional construction and design tasks.

Infographic showing various Machine Learning Civil Engineering job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, 3% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $82,674 per year, or $39.7 per hour.

Civil Engineering Technologist and Technician

Weekday AI

Remote

$59 - $114/hr

Part-time

Posted 18 days ago

Job description

This role is for one of our clients
Job Title: Civil Engineering Technologist and Technician
Job Type: AI Model Training, Civil Design
Location: Remote
Compensation: $59 - $114/hour-pay
As a Civil Engineering Technologist and Technician, leveraging your expertise in civil design and technology to help train advanced AI models. You will play a pivotal role in shaping the future of infrastructure solutions by transforming your industry knowledge into actionable data, empowering next-generation AI technologies.
Requirements
Key Responsibilities
  1. Utilize your civil engineering design and technical skills to annotate, review, and validate AI training data.
  2. Collaborate with AI specialists to identify and communicate key civil engineering concepts needed for model development.
  3. Translate complex civil engineering problems and processes into structured data sets for algorithmic use.
  4. Provide expertise on civil drafting, design methodologies, and construction documentation for AI learning.
  5. Review and edit technical materials to ensure clarity, accuracy, and relevance for AI training.
  6. Communicate findings and feedback clearly in both written reports and virtual meetings.
  7. Stay current with industry trends to enhance the effectiveness and relevance of AI model training.

Required Skills and Qualifications
  1. Diploma or degree in Civil Engineering Technology or related discipline.
  2. Proven experience in civil design, drafting, or construction documentation.
  3. Excellent written and verbal communication skills, with a keen attention to detail.
  4. Proficient with industry-standard CAD and civil design software.
  5. Ability to distill complex engineering concepts into clear, accessible information.
  6. Strong organizational and self-management skills, especially in a remote setting.
  7. Commitment to accuracy and high-quality data output.

Preferred Qualifications
  1. Experience collaborating with cross-functional or technical teams.
  2. Familiarity with AI, machine learning, or data annotation projects.
  3. Previous work in remote roles or tech-driven environments.

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