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Deep Learning Ai Jobs in Michigan (NOW HIRING)

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

... ai, you will: * Play a key role in architecting the algorithms and models that will power our products * Train on a dedicated high-performance compute cluster specialized for deep learning research

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Deep Learning Ai information

What is a deep learning AI professional?

Deep Learning AI professionals are experts who design, develop, and implement artificial intelligence systems that use deep neural networks to analyze complex data and solve tasks such as image recognition, natural language processing, and autonomous decision-making. They work with large datasets and advanced algorithms to build models that can learn and improve over time. These professionals often have a background in computer science, mathematics, or engineering, and are skilled in programming languages like Python and frameworks such as TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive as a deep learning AI engineer?

To thrive as a Deep Learning AI Engineer, you need a strong background in mathematics, programming (especially Python), and experience with neural networks, typically supported by a degree in computer science, engineering, or a related field. Proficiency with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of tools like CUDA for GPU acceleration, are essential; relevant certifications can be advantageous. Analytical thinking, creativity, and effective communication are important soft skills for solving complex problems and collaborating with cross-functional teams. These skills and qualities are crucial for building robust AI models and driving innovation in this rapidly evolving field.

What are some common challenges faced by professionals working in deep learning AI, and how can they be addressed?

Professionals in Deep Learning AI often encounter challenges such as managing large datasets, ensuring model accuracy, and addressing issues like overfitting. Collaboration with data engineers and domain experts is crucial to ensure high-quality data and relevant feature selection. Additionally, staying up-to-date with rapidly evolving frameworks and algorithms requires continuous learning and participation in knowledge-sharing within the team. Regular code reviews and experimentation with different architectures can help overcome technical obstacles and improve model performance.

What is the difference between Deep Learning Ai vs Machine Learning Engineer?

AspectDeep Learning AiMachine Learning Engineer
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of neural networksDegree in Computer Science, Data Science, or related fields; programming skills in Python, R
Work EnvironmentResearch labs, AI development teams, tech companies focusing on AI modelsSoftware development teams, data analysis projects across various industries
Industry UsagePrimarily in AI research, autonomous systems, NLP, computer visionAcross industries for predictive modeling, data analysis, automation

Deep Learning Ai specialists focus on designing and implementing neural network models for complex AI tasks, often requiring advanced knowledge of deep neural networks. Machine Learning Engineers develop broader machine learning models, including traditional algorithms. While both roles require similar educational backgrounds, Deep Learning Ai roles are more specialized in neural networks and AI research, whereas Machine Learning Engineers work across a wider range of algorithms and applications.

What cities in Michigan are hiring for Deep Learning Ai jobs?

Cities in Michigan with the most Deep Learning Ai job openings:

Infographic showing various Deep Learning Ai job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Manager - Deep Learning and Driving Behavior Modeling

Astemo

Farmington Hills, MI

Full-time

Re-posted 27 days ago


Job description

Company Name:

ASTEMO AMERICAS, INC.

Job Family:

Engineering

Job Description:

Summary:

Astemo Americas, Inc. is looking for M.Sc./Ph.D. degree holders in Mechanical/Electrical/Computer Science/Robotics or related engineering field to join our Advanced Technology Development Department as a Manager to contribute for the development of advanced deep learning techniques for driving behavior modeling to bring new values in the areas of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD). The position will require sound knowledge on image processing, Generative AI, Vision Language Model, sensors, and algorithms used in AD/ADAS. The position requires the manager to develop and lead an advanced AI team, plan and execute advanced development projects, manage resources and budget, etc. together with good communication and written skills.

Job Duties:

  • The candidate will work in close collaboration with teams in Japan and other departments in the USA
  • Ideate new concepts, create plan and execute strategies, make test and validation scenarios, design experimental and analytical processes to bring new values in ADAS and automated driving systems
  • The candidate should have the ability to perform complex system analysis with a high level of analytical ability
  • The candidate should have the ability to troubleshoot complex issues in a timely and effective manner
  • Publish technical papers, patents, and present Astemo's innovative technologies at conferences and seminars.

Qualifications:

  • Knowledge of Automated Driving (AD) System is required
  • Experience in developing large foundation models/vision language models is preferred
  • Experience in developing end-to-end architecture for AD/robotics is preferred
  • Strong programming skills in C++ and/or Python are required
  • Proficiency with deep learning frameworks is required
  • Experience with AD/Advanced Driver Assistance Systems (ADAS)/autonomous robotics systems development using multi sensor fusion and embedded system is a plus
  • Knowledge of cloud computing is a plus
  • Experience in Human Machine Interface system development is a plus
  • Ability to work independently with minimal direction is required

Education: MSc degree in mechanical/electrical/computer science/Robotics or in a related engineering field. PhD is preferred

Experience: Minimum of 6+ years of relevant industrial experience is required

Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.

Supervisory Responsibilities: Leading, building 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.