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Artificial Intelligence Machine Learning Engineer information
See Michigan salary details
$27.5K - $40.3K
1% of jobs
$40.3K - $53.1K
1% of jobs
$53.1K - $66K
5% of jobs
$66K - $78.8K
6% of jobs
$89.4K is the 25th percentile. Wages below this are outliers.
$78.8K - $91.6K
14% of jobs
$91.6K - $104.5K
14% of jobs
The median wage is $110.9K / yr.
$104.5K - $117.3K
18% of jobs
$117.3K - $130.1K
14% of jobs
$132.8K is the 75th percentile. Wages above this are outliers.
$130.1K - $143K
12% of jobs
$143K - $155.8K
11% of jobs
$155.8K - $168.7K
5% of jobs
$27.5K
$112.2K
$168.7K
How much do artificial intelligence machine learning engineer jobs pay per year?
What is an Artificial Intelligence Machine Learning Engineer?
What are some common challenges faced by Artificial Intelligence Machine Learning Engineers when deploying models to production?
What is a $900,000 AI job?
What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?
| Aspect | Artificial Intelligence Machine Learning Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWS | Bachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization |
| Work Environment | Develops AI/ML models, coding, deploying algorithms in software environments | Analyzes data, builds models, interprets data insights for business decisions |
| Employer & Industry Usage | Tech companies, AI startups, R&D departments | Finance, healthcare, marketing, consulting firms |
While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.
What engineers make $500,000?
What are the key skills and qualifications needed to thrive as an Artificial Intelligence Machine Learning Engineer, and why are they important?
Is AI ML engineer in demand?
How much do AI ML engineers make?

Full-time
Posted 5 days ago
Job description
Company Name:
Job Family:
Job Description:
General Responsibilities:
Join Astemo's Artificial Intelligence team within the Software Defined Vehicle organization.
We are seeking a dynamic and experienced Department Manager to lead a team focused on Artificial Intelligence (AI) and Machine Learning (ML) solutions for software defined vehicles. In this role, you will oversee the design, implementation, and optimization of AI/ML-based systems, ensuring they meet performance, scalability, and reliability standards. You will also foster a collaborative, agile environment that empowers innovation and growth. This team works cross-functionally with embedded software, systems, hardware, and advanced development teams to deliver high-quality solutions that support Astemo's vision. As a people leader, you will shape strategic initiatives that align with Astemo's transformation into AI first mobility solutions provider.
Job Responsibilities:
The following are the primary responsibilities (other duties may be assigned as needed):
- Lead the development and deployment of AI/ML technologies for Astemo's SDV BU.
- Collaborate with cross-functional teams, including system engineers, software developers, hardware engineers, and business stakeholders, to define project requirements and ensure successful execution.
- Ensure the timely delivery of projects by monitoring progress, addressing roadblocks, and implementing agile methodologies improve speed, quality, and safety across development cycles.
- Provide technical guidance and mentorship to engineers and foster a culture of continuous learning and professional growth.
- Stay informed of emerging technologies and trends in AI/ML, recommending innovative approaches to enhance our designs.
- Define system architecture and design, incorporating best practices and industry standards to create robust and maintainable systems.
- Communicate project status, risks, and opportunities to senior leadership.
- Partner with other departments to promote AI/ML adoption across the organization.
- Manage resource planning and team development.
- Good verbal and written English skills
Qualifications:
The ideal candidate will have:
- Bachelor of Science degree in Artificial Intelligence, Mechanical Engineering, Electrical Engineering, Computer Science, Computer Engineering, Mathematics or a related technical degree
- Minimum of 10 years of professional engineering/technical experience
- Minimum of 5 years of engineering experience related to AI/ML, control systems, embedded control system, and/or safety critical system development
- Strong knowledge of AI/ML concepts, frameworks, and applications in software development.
- Experience with common machine learning libraries and frameworks.
- Familiarity with deep learning techniques, neural networks, and natural language processing.
- Solid understanding of computer programming languages such as Python, Java, C++, etc.
- Demonstrated technical background in powertrain controls, AD/ADAS, chassis controls and/or vehicle dynamics
- Proven track record of successful project execution
- Excellent multi-functional communication and leadership skills - able to get multiple teams moving in the same direction
- Demonstrated ability to deal with ambiguity while driving timely decision making
Additionally, the ability to work independently with minimal direction is required as are strong verbal and written communication skills. Experience with PCs and application software, such as MS Office tools, is also required.
Education: Bachelor's or Master's degree in Artificial Intelligence or Computer Science or Electrical Engineering
Experience: Minimum of 10 years applicable experience in automotive.
Job level determined by various factors such as organization size, responsibility, career stage, and capabilities.
Supervisory Responsibilities: Leading and mentoring the efforts of engineers who are responsible for sub-project activities.
Working conditions:
- Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.
- Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.
Equal Opportunity Employer (EOE) - Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender, identity, disability, protected veteran status and national origin.
At Astemo, we're challenging the status quo with the power of diversity, inclusion, and collaboration. Our goal is to build an inclusive work environment that celebrates the differences of our employees. We want to ensure that every employee feels valued, respected and empowered. We don't just accept difference-we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Astemo is proud to be an equal opportunity employer.
If you need a reasonable accommodation to apply for a job at Astemo, please send the nature of the request and contact information to am-jobs@hitachiastemo.com when applying for the position.