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Mechanical Engineering Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer II The Machine Learning Engineer II will be a member of the Learning and ... Engineering, Aerospace, or Mechanical Engineering * Minimum of 2 - 5 years' experience, and 2+ ...

Sr. Machine Learning Engineer, Siri Global

Cupertino, CA · On-site

$151K - $199K/yr

We build machine learning models, systems, and software that understands the intents hundreds of ... Software engineering experience with both server-based and client-side (e.g. on-device) models is a ...

Area About the Position As a member of our Engineering team, you will work with a tight, highly ... Working knowledge of machine learning frameworks and the data and computation management mechanisms ...

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 ...

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 ...

... Engineering, Controls, and Quality to address critical operational challenges. This position ... Develop robust monitoring and alerting mechanisms to ensure reliability and rapid issue resolution ...

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... Write and maintain clear technical documentation for data pipelines and tables ML Engineering ...

Masters in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Proven experience in ...

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Mechanical Engineering Machine Learning information

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$45.5K

$102.9K

$166.5K

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

As of Jun 15, 2026, the average yearly pay for mechanical engineering machine learning in the United States is $102,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $126,500.00 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 engineers make $500,000?

Senior mechanical engineers with extensive experience, specialized skills, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large corporations. Achieving this level often requires advanced degrees, 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 leadership roles can earn $300,000 or more annually, especially in high-demand industries like aerospace, automotive, or energy. Achieving this level often requires advanced degrees, professional certifications, and a track record of significant project contributions.

Which 5 jobs will survive AI?

Mechanical engineering roles that involve designing, maintaining, and improving machinery are likely to persist as they require complex problem-solving and hands-on expertise. Jobs that focus on creative innovation, systems integration, and specialized technical skills, such as robotics engineers and systems analysts, are also expected to remain in demand despite advances in AI. Continuous learning and certification in relevant tools like CAD software and automation systems can enhance job security in these fields.

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 of data science tools, can facilitate their transition into machine learning roles. Interdisciplinary expertise and relevant certifications can enhance their effectiveness in this field.

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.

More about Mechanical Engineering Machine Learning jobs
What are the most commonly searched types of Mechanical Engineering Machine Learning jobs? The most popular types of Mechanical Engineering Machine Learning jobs are:
What states have the most Mechanical Engineering Machine Learning jobs? States with the most job openings for Mechanical Engineering Machine Learning jobs include:
What job categories do people searching Mechanical Engineering Machine Learning jobs look for? The top searched job categories for Mechanical Engineering Machine Learning jobs are:
Machine Learning Engineer

Machine Learning Engineer

Navstar

Centreville, VA

$102K - $144K/yr

Other

Posted 19 days ago


Job description

Machine Learning Engineer II

The Machine Learning Engineer II will be a member of the Learning and Active Perception (LEAP) group in AV's MacCready Works division and support the development of a variety of innovative computer vision capabilities (object detection, classification, localization, and tracking) and other image/video analytics for defense and commercial applications. These development efforts require a range of skills and tools across traditional engineering, computer science, and mathematical disciplines including but not limited to data management, computer vision, machine learning, optimization, and deep neural networks. This position will span multiple stages of the development process including requirements gathering, algorithm design, prototyping, test and evaluation, and validation and verification testing. This role also involves support for experimentation and fielded systems requiring travel, both domestic and international.

Duties

  • Support development of computer vision and machine learning (ML) algorithms capable of object detection, classifying, localizing, and tracking objects of interest from a variety of stationary and mobile sensor platforms with the primary purpose of real-time automated target recognition (ATR)
  • Perform visual imagery data science to inform data collection, data labeling, and data selection for training deep computer vision ML algorithms, train the algorithms using the data, and validate data selection and algorithm design through a series of purpose-designed experiments. This includes:
    • Analyze ML algorithms to solve a given problem and rank them by their success probability on new data
    • Set objectives and develop models that help achieve them, along with metrics to track their progress
    • Select appropriate datasets and data representations
    • Analyze errors of the data, model, and design strategies to overcome them
  • Write and test software to support the integration of machine learning algorithms into aircraft (such as autopilots, payloads, or other functional components) or other systems
  • Other duties as assigned

Basic Qualifications (Required Skills & Experience)

  • BS in Computer Vision and Machine Learning is required or equivalent combination of education, training, and experience - with qualifications in any of the following fields: Mathematics, Optimization, Computer Science/Engineering, Electrical Engineering, Aerospace, or Mechanical Engineering
  • Minimum of 2 - 5 years' experience, and 2+ years of relevant experience in machine learning and/or computer vision
  • Proficiency with a deep learning framework, preferably PyTorch
  • Proficiency with basic libraries for machine learning such as, Open-CV, scikit-learn, and pandas
  • Familiarity with Linux
  • Familiarity with Nvidia Tools (CUDA, JetPack, TensorRT) and deployment process to Nvidia GPUs
  • Demonstrated ability to troubleshoot complex systems and perform algorithmic optimization
  • Ability to perform exploratory data analysis, including visualizing and manipulating large datasets

Other Qualifications & Desired Competencies)

  • Must be a team player and collaborate effectively
  • Excellent verbal and written skills
  • Has effective problem-solving, analytical and interpersonal skills
  • Ability to work within defined requirements to complete tasks under moderate supervision
  • Able to excel in a fast-paced, deadline-driven environment, where small teams share a broad variety of duties
  • Displays strong initiative and drive to accomplish goals and meet company objectives
  • Takes ownership and responsibility for current and past work products, and demonstrates a willingness to share the results with other team members and provide feedback and input to teammates working similar problems.
  • Is committed to learning from mistakes and driven to improve and enhance performance of oneself, others, and the company
  • Familiarity with office software and computer-based productivity tools

Special Requirements

  • U.S. Citizenship required
  • Ability to obtain (at minimum) a Secret level DoD security clearance
  • Willingness to travel (Occasionally / up to 20%)

Physical Demands

  • Ability to work in an office and manufacturing environment (Constant)
  • Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent)

Clearance Level No ClearanceThe salary range for this role is: $102,000 - $144,375