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Google Machine Learning Engineer Jobs in Michigan

DIA Machine Learning Engineer

Dearborn, MI · On-site +1

$66K - $186K/yr

... machine learning. 2. Data visualization - delivering data to business users using at least one of ... Google Cloud Platform, Hadoop, or SQL for process re-engineering, and GitHub for code base version ...

Senior Machine Learning Engineer

Warren, MI · On-site +1

$222K - $227K/yr

Machine Learning Frameworks, including TensorFlow and PyTorch; Mathematical Reasoning and Probability; Programming in C++ or Python; Experience with Robot Operating System (ROS), OpenCV, or PCL;

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director of AI Engineering, you'll contribute to the development of cutting-edge AI solutions to combat ...

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Showing results 1-20

Google Machine Learning Engineer information

See Michigan salary details

$27.5K

$112.2K

$168.7K

How much do google machine learning engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for google machine learning engineer in Michigan is $112,234.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $135,100.00 per year, depending on experience, location, and employer.

Does Google hire a machine learning engineer?

Yes, Google hires machine learning engineers to develop and implement AI and machine learning models across various products and services. Candidates typically need strong programming skills, experience with frameworks like TensorFlow, and a solid understanding of algorithms and data structures.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, with roles requiring expertise in programming, cloud platforms, and machine learning tools.

Which 3 jobs will survive AI?

For a Google Machine Learning Engineer, roles that require complex problem-solving, creativity, and human judgment—such as AI ethics specialists, research scientists, and product managers—are less likely to be fully automated. These jobs involve strategic decision-making, understanding nuanced human needs, and overseeing AI development, making them more resilient to automation. Continuous learning and expertise in AI tools and ethical considerations are essential for long-term career stability in this field.

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

To thrive as a Google Machine Learning Engineer, you need strong expertise in mathematics, statistics, programming (especially Python or C++), and a solid background in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms (like Google Cloud), and advanced certifications can be highly beneficial. Excellent problem-solving, teamwork, and communication skills help you collaborate across teams and explain complex models to stakeholders. These skills are essential to driving innovation, building scalable solutions, and ensuring impactful results in a fast-paced, research-driven environment.

What is a Google Machine Learning Engineer job?

A Google Machine Learning Engineer designs, builds, and optimizes machine learning models to improve Google's products and services. They work with large datasets, implement algorithms, and deploy scalable AI systems. Collaboration with data scientists, software engineers, and product teams is essential to integrate models into real-world applications. Strong knowledge of Python, TensorFlow, and cloud computing is often required. This role focuses on both research and practical implementation to enhance automation and decision-making across Google products.

What types of projects and collaborations can Google Machine Learning Engineers expect to be involved in?

Google Machine Learning Engineers often contribute to diverse projects, such as developing next-generation search algorithms, optimizing user experiences across products, or creating scalable machine learning systems for internal and external clients. The role frequently involves collaborating with data scientists, product managers, software engineers, and researchers to define project goals and deliver impactful solutions. You can expect to participate in code reviews, prototype new models, and provide expert input during technical discussions. This collaborative, interdisciplinary approach ensures innovative outcomes and offers ongoing opportunities for professional growth and skill development.

What is the salary of ML engineer in Google?

The average salary for a Google Machine Learning Engineer is approximately $120,000 to $180,000 per year, depending on experience, location, and level. Senior roles and those with specialized skills in deep learning or TensorFlow may earn higher compensation, often including bonuses and stock options.
What are the most commonly searched types of Google Machine Learning Engineer jobs in Michigan? The most popular types of Google Machine Learning Engineer jobs in Michigan are:
Infographic showing various Google Machine Learning Engineer job openings in Michigan as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,234 per year, or $54 per hour.
DIA Machine Learning Engineer

DIA Machine Learning Engineer

Ford Motor Company

Dearborn, MI • On-site, Remote

$66K - $186K/yr

Full-time

Medical, Dental, Life, PTO

Posted 9 days ago


Job description

At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics, and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

You'll have...

Bachelor's degree or foreign equivalent in Statistics, Economics, Mathematics, Computer Science, Industrial Engineering, Data Science, Mechanical Engineering or related field and 2 years of experience in the job offered or related occupation.   2 years of experience with each of the following skills is required: 1. Coding in multiple languages, including SQL, and using PowerBI for delivering analytics including reporting or machine learning. 2. Data visualization - delivering data to business users using at least one of the following: Qlik, Python, Dash, Looker, or Power BI.  1 year of experience with each of the following skills is required:  1. Coding using Python to automate business processes and data pipelines. 2. Utilizing GCP native technologies, Dataform and Docker, to improve data pipelines. 3. Data engineering - leveraging Google Cloud Platform, Hadoop, or SQL for process re-engineering, and GitHub for code base version control. 4. Process mapping and re-engineering - consulting with the business to identify problem and provide solutions to improve and automate data flows using Dataform, SQL, or GCP.

We are offering a salary of $66,102.00 - $186,624.00/yr. 

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!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including:

Immediate medical, dental, and prescription drug coverage
Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
Vehicle discount program for employees and family members, and management leases
Tuition assistance
Established and active employee resource groups
Paid time off for individual and team community service
A generous schedule of paid holidays, including the week between Christmas and New Year's Day
Paid time off and the option to purchase additional vacation time.
For a detailed look at our benefits, click here:

https://fordcareers.co/GSR-HTHD

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.

#LI-DNI

#DNP
 

Bachelor's degree or foreign equivalent in Statistics, Economics, Mathematics, Computer Science, Industrial Engineering, Data Science, Mechanical Engineering or related field and 2 years of experience in the job offered or related occupation.   2 years of experience with each of the following skills is required: 1. Coding in multiple languages, including SQL, and using PowerBI for delivering analytics including reporting or machine learning. 2. Data visualization - delivering data to business users using at least one of the following: Qlik, Python, Dash, Looker, or Power BI.  1 year of experience with each of the following skills is required:  1. Coding using Python to automate business processes and data pipelines. 2. Utilizing GCP native technologies, Dataform and Docker, to improve data pipelines. 3. Data engineering - leveraging Google Cloud Platform, Hadoop, or SQL for process re-engineering, and GitHub for code base version control. 4. Process mapping and re-engineering - consulting with the business to identify problem and provide solutions to improve and automate data flows using Dataform, SQL, or GCP.

We are offering a salary of $66,102.00 - $186,624.00/yr. EOE.

This Job Notice is posted as a result of the filing of an application for permanent alien labor certification for the relevant job opportunity. Any person may provide documentary evidence bearing on the application to the Certifying Officer at the U.S. Department of Labor, Employment and Training Administration, Office of Foreign Labor Certification, 200 Constitution Avenue NW, Room N-5311, Washington, DC 20210.

Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite.  Acquire deep understanding of the business problems and translate them into appropriate business solutions. Drive development and delivery of analytic and statistical models using skills such as data acquisition and management, algorithm design, and model development and refinement. Ensure overall quality of the data and solutions throughout the analytic development process. Interpret results and communicate insights to technical and non-technical audiences including executive leadership.

What you'll be able to do:

DIA Machine Learning Engineer - positions offered by Ford Motor Company (Dearborn, Michigan). Note, this is a hybrid position whereby the employee will work both from home and from the aforementioned worksite. Hence, the employee must live within a reasonable commuting distance from the worksite. Acquire deep understanding of the business problems and translate them into appropriate business solutions. Drive development and delivery of analytic and statistical models using skills such as data acquisition and management, algorithm design, and model development and refinement. Ensure overall quality of the data and solutions throughout the analytic development process. Interpret results and communicate insights to technical and non-technical audiences including executive leadership. 


Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982