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Mechanical Engineering Machine Learning Jobs in Maryland

Machine Learning Engineer

California, MD ยท On-site

$120 - $180/hr

Role Description This role is for a Machine Learning Engineer responsible for developing, implementing, and maintaining machine learning solutions that support business objectives and data-driven ...

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Mechanical Engineering Tutor

Laurel, MD ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

Mechanical Engineering Tutor

Bowie, MD ยท Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems.

Machine Learning Engineer

Berlin, MD ยท On-site

$79.93 - $137.02/hr

Master's or PhD in Computer Science, Robotics, Electrical Engineering, or a related field ... Solid understanding of machine learning, deep learning, and autonomous systems. Preferred Skills:

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Showing results 1-20

Mechanical Engineering Machine Learning information

See Maryland salary details

$44.2K

$99.8K

$161.6K

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

As of Aug 9, 2026, the average yearly pay for mechanical engineering machine learning in Maryland is $99,847.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,100.00 and $122,800.00 per year, depending on experience, location, and employer.

What is a mechanical engineering machine learning job?

A Mechanical Engineering Machine Learning job involves applying machine learning techniques to solve mechanical engineering problems. This can include optimizing designs, predicting failures, automating processes, and improving system efficiency. Engineers in this field use data-driven models, simulations, and sensor data to enhance mechanical systems. The role requires knowledge of both mechanical engineering principles and machine learning algorithms.

What are the key skills and qualifications needed to thrive in mechanical engineering machine learning, and why are they important?

To thrive in a Mechanical Engineering Machine Learning role, you need a solid background in mechanical engineering principles and practical experience with machine learning algorithms, supported by a degree in mechanical engineering, computer science, or a related field. Proficiency in Python, MATLAB, CAD software, and machine learning libraries like TensorFlow or scikit-learn is highly valued, as are certifications in data science or AI. Analytical thinking, problem-solving, and effective collaboration are essential soft skills, helping you bridge mechanical systems and data-driven modeling. These skills enable innovative solutions for design, analysis, and automation in multidisciplinary engineering environments.

What are typical projects or challenges faced by mechanical engineering machine learning professionals?

Mechanical Engineering Machine Learning professionals often work on projects involving predictive maintenance of mechanical systems, optimization of manufacturing processes, or the integration of smart sensors and IoT devices in industrial applications. A common challenge is translating mechanical data into meaningful inputs for machine learning models, requiring close collaboration with domain experts and software engineers. You may also tackle tasks like automating design processes, simulating complex systems, or developing algorithms for fault detection. These projects typically involve both independent problem-solving and team-based collaborations, making adaptability and communication critical to success.

What are the most commonly searched types of Mechanical Engineering Machine Learning jobs in Maryland? The most popular types of Mechanical Engineering Machine Learning jobs in Maryland are:
What are popular job titles related to Mechanical Engineering Machine Learning jobs in Maryland? For Mechanical Engineering Machine Learning jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Mechanical Engineering Machine Learning jobs in Maryland look for? The top searched job categories for Mechanical Engineering Machine Learning jobs in Maryland are:
Infographic showing various Mechanical Engineering Machine Learning job openings in Maryland as of August 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 100% In-person job distribution, with an average salary of $99,847 per year, or $48 per hour.

Machine Learning Engineer

Socket.dev

California, MD โ€ข On-site

$120 - $180/hr

Other

Posted yesterday

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Job description

Role Description

This role is for a Machine Learning Engineer responsible for developing, implementing, and maintaining machine learning solutions that support business objectives and data-driven decision-making. In this position, you will work with data, algorithms, and software systems to build intelligent applications and improve existing processes.


As a Machine Learning Engineer, you will collaborate with data scientists, software engineers, and business stakeholders to transform requirements into practical machine learning solutions. You will assist in preparing data, training models, evaluating performance, and deploying machine learning applications into production environments.


The role involves monitoring model performance, optimizing workflows, and ensuring that machine learning systems operate efficiently and reliably. You will also support testing, troubleshooting, and continuous improvement efforts to enhance the accuracy and effectiveness of AI-driven solutions.


This position is ideal for candidates who enjoy working with both software development and data-driven technologies. It focuses on the practical implementation and deployment of machine learning systems rather than advanced academic research.


The Machine Learning Engineer plays a key role in enabling intelligent automation, predictive analytics, and scalable AI solutions across the organization.


Key Responsibilities

  • Develop, test, and deploy machine learning models and applications

  • Prepare, clean, and process data for model development

  • Evaluate model performance and optimize results

  • Support the deployment and maintenance of machine learning systems

  • Collaborate with cross-functional teams to define use cases and requirements

  • Monitor model accuracy, reliability, and performance

  • Troubleshoot and resolve model or data-related issues

  • Document machine learning workflows, processes, and solutions

  • Improve automation and predictive capabilities through machine learning

  • Stay updated on machine learning technologies, tools, and best practices


Qualifications

  • Basic to intermediate understanding of machine learning concepts and techniques

  • Familiarity with Python or other programming languages used in data and AI projects

  • Understanding of data processing, model training, and evaluation workflows

  • Knowledge of machine learning libraries or frameworks is a plus

  • Strong analytical and problem-solving skills

  • Ability to work with structured and unstructured data

  • Attention to detail and a structured approach to development

  • Good communication and teamwork skills

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