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Machine Learning Civil Engineering Jobs (NOW HIRING)

Eccalon LLC

Machine Learning Engineer

Detroit, MI

On the engineering side of development, the Machine Learning Engineer will have the ability to be hands-on by: * Creating training and preprocessing pipelines for faster experimentation. * Creating ...

Spotify

Machine Learning Engineer

They are seeking a Machine Learning Engineer to build systems that analyze the performance of music promotions, providing actionable insights for creators and partners. Responsibilities : • ...

Spotify

Machine Learning Engineer

Spotify is a leading music streaming platform, and they are seeking a Machine Learning Engineer to join their Music Promotion team. The role involves building systems to understand the performance of ...

Qualcomm

Machine Learning Engineer

San Diego, CA · On-site

$122K - $184K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

Nanite Inc.

Machine Learning Engineer

Boston, MA

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Design and implement complex data engineering processes to support innovative data science modeling

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Perform data preprocessing, feature engineering, and exploratory data analysis (EDA) * Implement ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

As part of our machine learning team, you will play a vital role in prototyping foundational ... MS/PhD in computer vision, electrical, optical or computer engineering or related fields.Experience ...

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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 8, 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.

Machine Learning Engineering Intern

Mariana Minerals

Ann Arbor, MI • On-site

$25 - $35/hr

Internship

Posted 24 days ago

Job description

About Mariana Minerals
Mariana Minerals is a software-first, vertically integrated minerals company on a mission to supply the critical minerals powering modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by combining deep industry expertise with advanced software, automation, and data-driven decision-making.
The Role
We are hiring a Machine Learning Engineering Intern to work on real, high-impact problems within our applied ML and operations team. You will contribute directly to building and improving models that influence real-world industrial systems and decision-making.
This role is designed to provide hands-on experience building and deploying machine learning solutions in production-like environments. You will work closely with engineers and domain experts to understand complex systems and apply ML techniques to improve performance, efficiency, and reliability.
What You'll Do
  • Work on a defined ML project with clear deliverables by the end of the internship
  • Build and experiment with models using Python, PyTorch/TensorFlow, or similar tools
  • Analyze real-world datasets to identify patterns, anomalies, and optimization opportunities
  • Support development of data pipelines, feature engineering, and model evaluation
  • Collaborate with engineers and domain experts to understand system behavior and constraints
  • Run experiments, validate results, and iterate based on findings
  • Document your work and present outcomes and learnings at the end of the internship

Qualification
  • Currently pursuing a degree in Computer Science, Machine Learning, Data Science, Chemical Engineering, or related field
  • Strong fundamentals in machine learning, statistics, and/or data analysis
  • Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow, etc.)
  • Hands-on experience through projects, coursework, or internships
  • Ability to break down problems and execute independently
  • Clear communication skills and willingness to learn in a fast-paced environment

Why Join Us?
At Mariana Minerals, you'll be part of a mission-driven team reshaping the way critical minerals are sourced and supplied globally. You'll have the autonomy to make big decisions, the tools to innovate, and a culture that values ownership, smart automation, and collaboration.
Our culture is built on three principles:
  • Extreme Ownership - We take full responsibility for outcomes, relentlessly driving toward solutions.
  • Engineer Out Requirements, then Automate - We simplify, optimize, and then automate for scale.
  • Share Your Legos - We collaborate openly, share knowledge, and empower each other to build bigger, better solutions.

Join us as we build the future of responsible mineral sourcing and supply.
Mariana is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status.

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