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Deep Learning Developer Jobs in Michigan (NOW HIRING)

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Machine Learning Engineer Location: Detroit, MI- Onsite Type: Full-time Security Clearance: No ... Mastery of Deep Learning fundamentals and statistics underlying Machine Learning. * History of ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

The Role As an ML Engineer within the Application Engineering team, you'll lead critical ... Expert in deep learning (esp. sequential models, control, planning, or perception). * Proficient in ...

Socket.dev

Machine Learning Engineer, App SW

Detroit, MI · On-site

$283.50 - $381.60/hr

... the leading developer of Embodied AI technology. Our advanced AI software and foundation models ... Expert in deep learning (esp. sequential models, control, planning, or perception). * Proficient in ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

We're reimagining the minerals supply chain by combining deep industry expertise with advanced ... As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ...

Saanvi Technologies

Machine Learning Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Additional Information : 4 days in the office Python (advanced), SQL Machine Learning & Deep Learning LLMs, Prompt Engineering, RAG, Embeddings Agentic AI / AI Agents / Tool Calling Vector Databases ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

Use machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and deep learning methods, alongside prompt engineering, retrieval-augmented ...

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Deep Learning Developer information

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

To thrive as a Deep Learning Developer, you need a strong background in computer science, mathematics, and proficiency in programming languages like Python, often supported by a degree in a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, and experience with cloud platforms or GPU acceleration, are commonly required technical skills. Analytical thinking, problem-solving abilities, and effective teamwork distinguish top performers in this role. These competencies are crucial for designing, training, and deploying advanced neural network models that address complex real-world problems.

What is a deep learning developer?

Deep Learning Developers are specialized software engineers or data scientists who design, build, and implement artificial intelligence systems using deep learning techniques. They work with neural networks, large datasets, and various frameworks like TensorFlow or PyTorch to develop models for tasks such as image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, optimization, and deployment to solve complex problems that require advanced pattern recognition. Deep Learning Developers often collaborate with AI researchers, data engineers, and product teams to integrate intelligent features into applications.

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

AspectDeep Learning DeveloperMachine Learning Engineer
Required CredentialsBachelor's or Master's in CS, AI, or related; experience with neural networksBachelor's or Master's in CS, Data Science, or related; knowledge of algorithms
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural networksData-driven companies, software firms, industries applying machine learning
Industry UsagePrimarily in AI research, neural network development, deep learning projectsBroader application including predictive modeling, data analysis, and ML systems

Deep Learning Developers specialize in neural networks and deep learning models, often working on AI research and complex algorithms. Machine Learning Engineers have a broader focus on developing, deploying, and maintaining machine learning models across various applications. While both roles require similar educational backgrounds, their focus areas and industry applications differ.

What are some common challenges deep learning developers face when deploying models to production environments?

Deep Learning Developers often encounter challenges such as optimizing model performance for real-time inference, managing resource constraints (like GPU/CPU availability), and ensuring model reproducibility across different environments. Additionally, integrating deep learning models into existing software systems and maintaining them over time can be complex, especially as data and requirements evolve. Collaborating closely with DevOps, data engineers, and QA teams is essential to address these challenges and ensure smooth deployment and ongoing reliability.
What cities in Michigan are hiring for Deep Learning Developer jobs? Cities in Michigan with the most Deep Learning Developer job openings:
Deep Learning Developer jobs near you
Infographic showing various Deep Learning Developer 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 18 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.

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