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Mechanical Engineering Machine Learning Jobs in Maryland

Varsity Tutors

Mechanical Engineering Tutor

Laurel, MD · 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.

Varsity Tutors

Mechanical Engineering Tutor

Bowie, MD · 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.

Liquid Robotics

Mechanical Engineering Manager

Jessup, MD · Hybrid

$107K - $147K/yr

Mechanical Engineering Manager Liquid Robotics is seeking a Mechanical Engineering Manager to lead ... CNC machining, injection molding, cable over-molding and sheet metal fabrication * Experience ...

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All JobsMechanical Engineering Machine Learning JobsMechanical Engineering Machine Learning Jobs in Maryland

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 2, 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.

Can you make $200,000 a year as a mechanical engineer?

Mechanical engineers can earn $200,000 or more annually, typically in senior roles, specialized fields, or with extensive experience and advanced skills such as CAD software, project management, or certifications. High salaries are often found in industries like aerospace, energy, or in managerial positions, especially in regions with a high cost of living or demand for engineering expertise.

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 engineers make $500,000?

Senior mechanical engineers with extensive experience, specialized skills in areas like automation or robotics, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost regions or large corporations. Achieving this level often requires advanced degrees, professional certifications, and a strong track record of project management and innovation.

What are the key skills and qualifications needed to thrive in the Mechanical Engineering Machine Learning position, 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 engineers make $300,000 a year?

Senior mechanical engineers with extensive experience, specialized skills, and advanced certifications can earn $300,000 or more annually, especially in high-demand industries like aerospace, automotive, or energy. Roles involving leadership, project management, or working in competitive markets tend to offer higher compensation.

Can mechanical engineers work in machine learning?

Mechanical engineers can work in machine learning by applying their knowledge of systems, modeling, and data analysis to develop algorithms for automation, robotics, and predictive maintenance. Gaining skills in programming languages like Python, and understanding data science and AI tools, can facilitate their transition into machine learning roles. Interdisciplinary expertise enhances their ability to solve complex engineering problems using machine learning techniques.

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:
Mechanical Engineering Machine Learning jobs near you
Infographic showing various Mechanical Engineering Machine Learning job openings in Maryland as of July 2026, with employment types broken down into 88% Full Time, and 12% Nights. Highlights an 100% In-person job distribution, with an average salary of $99,847 per year, or $48 per hour.

Machine Learning Engineer

Cymertek Corporation

Annapolis Junction, MD • On-site

Full-time

Posted 20 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team. The role involves designing, developing, and deploying machine learning models to solve complex problems and improve decision-making processes.
Responsibilities:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
Qualifications:
Required:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
• Proficiency in programming languages (e.g., Python, R, Java)
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in model evaluation techniques and metrics
• Strong knowledge of version control tools (e.g., Git)
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Understanding of database technologies (e.g., SQL, NoSQL)
• Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, etc.
Preferred:
• Experience with natural language processing (NLP)
• Knowledge of deep learning techniques (e.g., CNNs, RNNs)
• Familiarity with deployment tools (e.g., Docker, Kubernetes)
• Experience with data augmentation and synthetic data generation
• Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
• Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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