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Mechanical Engineering Machine Learning Jobs in Maryland

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

Workiva

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to ...

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 ...

BOOZ, ALLEN & HAMILTON, INC.

$77K - $176K/yr

You Have: * 2+ years of experience with artifi cia l intelligence, data science, sof tware engineering, or machine learning engineering, including developing and deploying models * Experience with ...

Filamatic

Mechanical Engineer

Baltimore, MD · On-site

$75K - $130K/yr

Bachelor's Degree, in Engineering / Machine Design / Mechanical / Mechatronics and 4+ years of experience. * Experience in sizing/selecting multi-axis motion control systems, electromechanical ...

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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 Sep 6, 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 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 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.

Can a mechanical engineering machine learning engineer become an AI/ML engineer?

A mechanical engineering machine learning engineer can transition to an AI/ML engineer by gaining expertise in programming languages like Python, understanding deep learning frameworks such as TensorFlow or PyTorch, and developing skills in data analysis and model deployment. Their background in machine learning provides a strong foundation, but additional focus on AI-specific concepts and projects is often necessary. Certifications or advanced coursework in AI and data science can facilitate this career shift.

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. They often need skills in programming languages like Python or MATLAB and familiarity with machine learning frameworks such as TensorFlow or scikit-learn. Transitioning into machine learning roles may also require additional training or certifications in data science and artificial intelligence.

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 August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $99,847 per year, or $48 per hour.

Summer 2027 Intern - Machine Learning Engineering

Workiva

Hagerstown, MD • On-site, Remote

$40/hr

Full-time

Retirement

Posted 7 days ago

Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies

Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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