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Coffee Machine Engineer Jobs (NOW HIRING)

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Coffee Machine Engineer information

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$31.5K

$128.8K

$193.5K

How much do coffee machine engineer jobs pay per year?

As of Jun 4, 2026, the average yearly pay for coffee machine engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a Coffee Machine Engineer job?

A Coffee Machine Engineer is responsible for installing, maintaining, and repairing coffee machines in various settings, such as cafes, offices, and restaurants. They diagnose technical issues, replace faulty components, and ensure machines operate efficiently. The job may also involve providing customer support, conducting routine maintenance, and advising on proper machine usage. Strong mechanical and electrical knowledge, along with problem-solving skills, are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Coffee Machine Engineer position, and why are they important?

To excel as a Coffee Machine Engineer, you need a solid background in mechanical and electrical engineering, with expertise in troubleshooting, maintenance, and repair of commercial and industrial coffee machines. Familiarity with diagnostic tools, technical manuals, and possibly certifications such as HVAC or manufacturer-specific training is highly valued. Strong problem-solving abilities, attention to detail, and effective communication with clients and team members are essential soft skills. These competencies ensure optimal machine performance, minimize downtime, and support excellent customer satisfaction.

What are some typical challenges faced by Coffee Machine Engineers on the job?

Coffee Machine Engineers often encounter challenges such as diagnosing complex mechanical or electrical issues, working with evolving machine technologies, and responding quickly to urgent service calls to minimize business disruptions. They may also need to adapt to varying manufacturer specifications and troubleshoot problems in diverse environments like cafes, offices, or large hospitality settings. Collaboration with customer service teams and training client staff on proper machine use are frequent parts of the role. Overcoming these challenges helps maintain high equipment reliability and builds trust with clients.

What does a coffee engineer do?

A coffee machine engineer installs, maintains, and repairs coffee brewing equipment in commercial or industrial settings. They troubleshoot technical issues, perform routine maintenance, and ensure machines operate efficiently, often requiring technical skills and knowledge of electrical and mechanical systems.
What cities are hiring for Coffee Machine Engineer jobs? Cities with the most Coffee Machine Engineer job openings:
What are the most commonly searched types of Coffee Machine Engineer jobs? The most popular types of Coffee Machine Engineer jobs are:
What states have the most Coffee Machine Engineer jobs? States with the most job openings for Coffee Machine Engineer jobs include:
What job categories do people searching Coffee Machine Engineer jobs look for? The top searched job categories for Coffee Machine Engineer jobs are:
Infographic showing various Coffee Machine Engineer job openings in the United States as of May 2026, with employment types broken down into 33% Full Time, 34% Contract, and 33% Nights. Highlights an 100% In-person job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Machine Learning Engineer I

Milwaukee Tool

Brookfield, WI โ€ข On-site

Other

Medical, Dental, Vision, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Machine Learning Engineer

Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position at this time.

At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success โ€“ so we give you unlimited access to everything you need to create disruptive new technologies and solutions on our engineering teams. Our Engineering Team is responsible for giving life to the batteries, motors, and electronics that power solutions changing the lives of our users. Every developmental phase of these critical components happens in-house under the watch of this team. We continue to invest in engineering resources to design and develop leadership in electronic capabilities; something unique within the industry. And we're pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence.

Your role on our team

As a Machine Learning Engineer, you will be a hands-on leader tasked with deploying machine learning models in creative ways while working with highly cross-functional teams to make power tool solutions that change the lives of our users. You will act as a technical expert in the creation and execution of these concepts into products, supporting the team through implementation, validation, and transfer to production.

This role requires excellent problem-solving skills, critical thinking, and the ability to work well under pressure in a dynamic environment. You will leverage strong technical communication skills and fundamental project management abilities to ensure clarity and alignment across teams. Additionally, you will demonstrate a strong sense of ownership for projects and tasks, with a clear understanding of how they connect to broader initiatives.

What tools you'll bring with you (required):

  • Bachelor of Science degree in computer science, computer engineering, electrical engineering or other scientific or engineering discipline.
  • Completed course work or specialization in machine learning and/or data science
  • Demonstrated experience applying fundamental machine learning algorithms and techniques in a non-coursework setting (e.g. unsupervised or supervised learning, classification/regression, dimensionality reduction, model optimization)
  • Demonstrated experience with machine learning and AI methods such as CNNs, transformers, or computer vision
  • Proficient developing and debugging code in Python
  • Proficiency in Python, with extensive experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.)
  • Proficiency with at least one deep learning framework (e.g. PyTorch of Tensor Flow)
  • Sold mathematical foundation in statistics, linear algebra, calculus and optimization
  • Ability to travel up to 10% of the time (domestic and international).

Other tools you may have (preferred):

  • Master's degree or PhD in machine learning or related field
  • At least one year of hands-on experience applying machine learning principles and algorithms involving embedded systems, edge computing, signal processing or a related field are preferred
  • Experience with time series modelling, especially with related domains such as NLP, SLAM, forecasting, or audio/video processing
  • Proficient developing and debugging code in an embedded environment in a programming language such as C or C++
  • Experience working with modern software development tools and version control tools

We provide these great perks and benefits:

  • Robust health, dental and vision insurance plans.
  • Generous 401 (K) savings plan.
  • Education assistance.
  • On-site wellness, fitness center, food, and coffee service.
  • And many more, check out our benefits site HERE.

Milwaukee Tool is an equal opportunity employer.