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Engineering 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 ...
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Internship Artificial Intelligence Engineer information
See Michigan salary details
$9.64 - $11.10
2% of jobs
$11.10 - $12.57
4% of jobs
$14.04 is the 25th percentile. Wages below this are outliers.
$12.57 - $14.04
19% of jobs
$14.04 - $15.50
24% of jobs
The median wage is $15.60 / hr.
$15.50 - $16.97
17% of jobs
$17.85 is the 75th percentile. Wages above this are outliers.
$16.97 - $18.44
16% of jobs
$18.44 - $19.90
6% of jobs
$19.90 - $21.37
5% of jobs
$21.37 - $22.84
3% of jobs
$22.84 - $24.30
3% of jobs
$24.30 - $25.77
1% of jobs
$9
$16
$25
How much do internship artificial intelligence engineer jobs pay per hour?
What is an internship artificial intelligence engineer?
An Internship Artificial Intelligence Engineer job involves assisting in the development, testing, and implementation of AI models and algorithms. Interns work with machine learning frameworks, data preprocessing, and model optimization under the supervision of experienced engineers. They may also contribute to research, software development, and problem-solving tasks related to AI applications. This role provides hands-on experience in AI technologies, helping interns build technical skills and industry knowledge.
What types of projects or tasks does an internship artificial intelligence engineer typically work on?
As an Internship Artificial Intelligence Engineer, you may assist with data preprocessing, building and training machine learning models, evaluating algorithm performance, and supporting the deployment of AI solutions. Often, interns collaborate closely with senior engineers and data scientists, participating in code reviews, brainstorming sessions, and project meetings. You might also help with literature research, documentation, or creating visualizations to communicate findings. These hands-on experiences expose you to real-world AI challenges and offer valuable mentorship opportunities while developing your technical skills.
What are the key skills and qualifications needed to thrive as an internship artificial intelligence engineer?
To thrive as an Internship Artificial Intelligence Engineer, you need a solid understanding of programming languages such as Python or Java, foundational knowledge of machine learning concepts, and coursework or experience in computer science or related fields. Familiarity with machine learning frameworks like TensorFlow or PyTorch, and experience using data analysis tools are highly beneficial. Strong problem-solving ability, effective communication, and an eagerness to learn set outstanding candidates apart. These skills ensure you can contribute to real projects, collaborate with teams, and adapt quickly in a dynamic technology-driven environment.
What are the most commonly searched types of Artificial Intelligence Engineer jobs in Michigan?
The most popular types of Artificial Intelligence Engineer jobs in Michigan are:
What are popular job titles related to Internship Artificial Intelligence Engineer jobs in Michigan?
For Internship Artificial Intelligence Engineer jobs in Michigan, the most frequently searched job titles are:
- Internship Junior Software Developer
- Summer Software Engineer Internship
- Front End Developer Internship
- Software Tester Internship
- Cloud Automation Engineer Internship
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What job categories do people searching Internship Artificial Intelligence Engineer jobs in Michigan look for?
The top searched job categories for Internship Artificial Intelligence Engineer jobs in Michigan are:
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What cities in Michigan are hiring for Internship Artificial Intelligence Engineer jobs?
Cities in Michigan with the most Internship Artificial Intelligence Engineer job openings:

Sr. Manager, Artificial Intelligence
Farmington Hills, MI โข On-site
Full-time
Re-posted 16 days ago
Job description
ASTEMO AMERICAS, INC.
Job Family:
Engineering
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.