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Machine Learning Engineer Jobs in Kalamazoo, MI (NOW HIRING)

... coating machines, clean rooms, and assembly robots to prevent breakdowns.   o Work on ... production operators, engineers, and other maintenance technicians to identify and address ...

P&C Lead Test Engineer

Kalamazoo, MI

$96K - $127K/yr

The P&C Lead Test Engineer is responsible for leading the testing, commissioning, validation, and ... Build an environment focused on learning, questioning attitude, and continuous improvement.

Operate machining equipment * Experience working on a manufacturing floor * Perform visual ... May collaborate with engineering, quality, and production teams to ensure parts meet rigorous ...

Software Engineer

Kalamazoo, MI · On-site

$105K - $120K/yr

Software Engineer Full-time Kalamazoo, MI, US Exclusive confidential search -- details shared with qualified applicants. Benefits You'll Love * Relocation assistance * Salary range: $105k - $120k

Senior Lead Engineer

Battle Creek, MI · On-site

$100K - $170K/yr

This position will lead engineering projects from concept through design, prototyping, testing, validation, and production implementation. The ideal candidate will have strong automotive design ...

Senior Lead Engineer

Battle Creek, MI · On-site

$100K - $170K/yr

This position will lead engineering projects from concept through design, prototyping, testing, validation, and production implementation. The ideal candidate will have strong automotive design ...

Software Engineer

Three Rivers, MI · On-site

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for developing applications. Requirements: - Bachelor's degree or Diploma in Computer Science, Engineering ...

Showing results 41-60

Machine Learning Engineer information

See Kalamazoo, MI salary details

$29.8K

$121.8K

$183.1K

How much do machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer in Kalamazoo, MI is $121,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,000.00 and $146,600.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Kalamazoo, MI?

The most popular types of Machine Learning Engineer jobs in Kalamazoo, MI are:

What are popular job titles related to Machine Learning Engineer jobs in Kalamazoo, MI?

For Machine Learning Engineer jobs in Kalamazoo, MI, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Kalamazoo, MI look for?

The top searched job categories for Machine Learning Engineer jobs in Kalamazoo, MI are:

What cities near Kalamazoo, MI are hiring for Machine Learning Engineer jobs?

Cities near Kalamazoo, MI with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Kalamazoo, MI as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 25% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $121,824 per year, or $58.6 per hour.

Industrial Firefighter

Ford Motor Company

Kalamazoo, MI • On-site

$46.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

At BlueOval Battery Park Michigan, you will...
• use your entrepreneurial skills and team mindset to come up with data-driven solutions
• build and lead an agile team to deliver the advanced technology that drives the future
• create a culture of trust, encourage diversity of thought and foster leadership in others
• be part of the historic transformation of the automotive industry.
 

***** During training and initial launch, the operating pattern will be an 8-10 hour shift schedule and then transition to a 12-hour shift schedule. *****

What You’ll Do
Key responsibilities may include:

• Preventative Maintenance:
  o Regularly inspecting, cleaning, lubricating, and performing scheduled maintenance on production equipment like mixing machines, coating machines, clean rooms, and assembly robots to prevent breakdowns.
  o Work on continuous process improvements to ensure the line is operating at its designed level at all times.

• Troubleshooting and Repair:
  o Diagnosing and resolving mechanical, electrical, pneumatic, and hydraulic issues with production equipment, including identifying root causes and implementing corrective actions.

• Equipment Calibration:
  o Performing routine calibrations on critical measurement devices to ensure accuracy in the production process.

• Quality Control:
  o Monitoring production processes to identify potential quality defects and taking corrective actions to maintain product quality standards.

• Data Analysis:
  o Interpreting equipment performance data to identify areas for improvement and implement optimization strategies.

• Safety Compliance:
  o Adhering to all safety procedures, wearing required personal protective equipment (PPE), and reporting any safety hazards immediately.

• Documentation:
  o Maintaining detailed records of maintenance activities, repairs, and parts used.

• Collaboration:
  o Working closely with production operators, engineers, and other maintenance technicians to identify and address equipment issues.
 

You'll have...

Required Skills and Qualifications:  
Minimum requirements: 

• High School Diploma, GED (General Education Development), or equivalency
•    Department of Labor or State Recognized Certification, or Military Equivalent 
•    Previous Industrial Mechanical experience or combination of previous work experience and training equivalent 
•    Working knowledge of advanced mechanical principles 
•    Exceptional computer skills, reading and data interpretation 
•    Must be at least 18 years of age 
•    Comfortable learning new technology 
•    Legally authorized to work in the US

Even better, you may have...
Preferred requirements:

•    Previous industrial mechanical experience or combination of previous work experience and training equivalent  
•    Expert knowledge and experience of automation machinery specifications 
•    Expert knowledge with machining, repairing and/or rebuilding machinery, and machine components using laths, mills, grinders etc
•    Advanced knowledge of all mechanical systems 
•    Proficient in reading and comprehension of technical drawings and schematics 
•    Advanced computer skills, reading, and interpreting data 
•    Fundamental knowledge of PLC such as Siemens, Rockwell, etc. 
•    Knowledge and skills of conveyors, drives, robots, and computers 
•    Knowledge of HVAC systems including troubleshooting fans and blowers

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!


Rate of Pay and Benefits: $46.25 per hour

  • Bonus Program – Performance-based bonus program recognizing the work you do every day
  • Employee Experience – Recognition programs and activities which focus on your importance to our success
  • 401(k) Retirement Savings Plan – Company matches 100% of first 5% of base wages contributed, and additional Company contributions
  • Paid Time Off
    • Up to four weeks of Vacation each year as you grow with the Company
    • Holidays and Wellness (sick) days
  • New Parent Leave following birth, adoption, or foster placement of a child
  • Health
    • Medical, Dental and Vision insurance for you and your family, beginning with your date of hire
    • Health Care Flexible Spending Account
    • Mental health and wellness counseling
  • Life Insurance – Company-provided Basic Life and Accidental Death and Dismemberment insurance; additional coverage available
  • Disability – Company-provided Short-term Disability coverage; additional coverage available
  • Ford Vehicle Discounts – Save on new Ford vehicle purchases for you, your family and your friends
  • Discounts on insurance (e.g. homeowners’, auto, pet, legal)
     

Visa sponsorship is not available for this position. 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.

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