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Deep Learning Jobs in Detroit, MI (NOW HIRING)

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 ...

Kla

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Evaluate and productize AI-based, deep learning, and other novel approaches that complement and improve the performance of existing algorithms in the inspection space * Explore signal processing ...

KLA Corporation

Algorithm Engineer

Ann Arbor, MI · On-site

$105K - $180K/yr

Evaluate and productize AI-based, deep learning, and other novel approaches that complement and improve the performance of existing algorithms in the inspection space * Explore signal processing ...

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

Design and implement validation frameworks for deep learning models (perception, NLP, generative AI) deployed in automotive systems, covering accuracy, robustness, latency, and safety metrics.

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 ...

Stellantis

AI Validation Engineer

Auburn Hills, MI

Design and implement validation frameworks for deep learning models (perception, NLP, generative AI) deployed in automotive systems, covering accuracy, robustness, latency, and safety metrics.

Magna

Robotics AI Algorithm- R&D Summer 2026

Troy, MI · On-site

Comfortable developing, debugging, training, and testing models in deep learning frameworks Prior experience in implementing Gen-AI, Transformers, Diffusion model-based solutions for Robotics ...

Optimal Inc.

Project Engineer

Warren, MI · On-site

Develop and optimize a deep learning-based defect detection system for electrode defects using the YOLO algorithm, integrating attention mechanisms and additional detection layers for high-precision ...

Optimal Inc.

Project Engineer

Warren, MI · On-site

Develop and optimize a deep learning-based defect detection system for electrode defects using the YOLO algorithm, integrating attention mechanisms and additional detection layers for high-precision ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow. * Proven ability to develop production-grade ML applications for training, evaluation and ...

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Showing results 21-40

All JobsDeep Learning JobsDeep Learning Jobs in Detroit, MI

Deep Learning information

See Detroit, MI salary details

$10.1K

$76.8K

$128.1K

How much do deep learning jobs pay per year?

As of Aug 22, 2026, the average yearly pay for deep learning in Detroit, MI is $76,754.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $127,200.00 per year, depending on experience, location, and employer.

What is a deep learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What are the typical daily responsibilities of a deep learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What are the key skills and qualifications needed to thrive in a deep learning position?

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What jobs use deep learning?

Jobs that use deep learning include roles such as machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with deep learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures. They are common in industries like technology, healthcare, automotive, and finance, often involving tasks like image recognition, natural language processing, and predictive modeling.

What are the most commonly searched types of Deep Learning jobs in Detroit, MI?

The most popular types of Deep Learning jobs in Detroit, MI are:

What are popular job titles related to Deep Learning jobs in Detroit, MI?

For Deep Learning jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Deep Learning jobs in Detroit, MI look for?

The top searched job categories for Deep Learning jobs in Detroit, MI are:

Deep Learning jobs near you
Infographic showing various Deep Learning job openings in Detroit, MI as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $76,754 per year, or $36.9 per hour.

Senior Machine Learning Engineer (Computer Vision & AI)

Faurecia

Auburn Hills, MI • On-site

$115K - $152K/yr

Full-time

Re-posted 13 hours ago

Faurecia rating

5.9

Company rating: 5.9 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Forvia, a sustainable mobility technology leader
We pioneer technology for mobility experience that matter to people.
Your mission, roles and responsibilities
Role Summary
As a Senior Machine Learning Engineer, you will play a key role in developing and deploying advanced AI solutions that drive innovation across our automotive products and manufacturing processes. This role is focused on applied machine learning, with an emphasis on computer vision, predictive analytics, and scalable model deployment.
You will partner with cross-functional teams across engineering, manufacturing, and R&D to design, build, and productionize machine learning models that deliver measurable business impact. This is a hands-on role requiring strong technical depth, ownership of model lifecycle, and the ability to operate effectively in a fast-paced, evolving environment.
Key Responsibilities
  • Design, develop, and deploy machine learning models with a focus on computer vision, predictive maintenance, and anomaly detection
  • Build and maintain end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment
  • Collaborate with engineering, manufacturing, and business stakeholders to translate real-world problems into scalable AI solutions
  • Optimize model performance and scalability using GPU acceleration and parallel computing frameworks
  • Leverage Python and deep learning frameworks (PyTorch, TensorFlow) to implement production-ready solutions
  • Partner with data and software engineering teams to integrate models into production systems and workflows
  • Contribute to AI innovation initiatives, including exploration of generative AI use cases in design and engineering contexts
  • Ensure best practices in model reproducibility, documentation, and performance monitoring
  • Stay current with advancements in machine learning and apply relevant techniques to improve existing capabilities

Your profile and competencies to succeed
Your Profile & Competencies
  • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field
  • 5+ years (preferably 7+) of hands-on experience in machine learning or applied AI roles
  • Strong expertise in machine learning and deep learning, with practical experience in computer vision applications
  • Proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow
  • Experience building and deploying models in production environments
  • Familiarity with GPU acceleration (CUDA or similar frameworks) and performance optimization techniques
  • Experience with ML pipelines, model lifecycle management, and scalable system design
  • Ability to work effectively in matrixed, cross-functional environments
  • Strong problem-solving and analytical skills, with the ability to translate complex data into actionable insights
  • Effective communicator, able to explain technical concepts to non-technical stakeholders
  • Experience in automotive, manufacturing, or industrial environments is a strong plus
  • Familiarity with cloud platforms (e.g., Azure) and Agile development practices is preferred

What we can do for you
  • At Forvia, you will find an engaging and dynamic environment where you can contribute to the development of sustainable mobility leading technologies.
  • We are the seventh-largest global automotive supplier, employing more than 157,000 people in more than 40 countries which makes a lot of opportunity for career development.
  • We welcome energetic and agile people who can thrive in a fast-changing environment. People who share our strong values. Team players with a collaborative mindset and a passion to deliver high standards for our clients. Lifelong learners. High performers. Globally minded people who aspire to work in a transforming industry, where excellence, speed, and quality count.
  • We cultivate a learning environment, dedicating tools and resources to ensure we remain at the forefront of mobility. Our people enjoy an average of more than 22 hours of online and in-person training within FORVIA University (five campuses around the world)
  • We offer a multicultural environment that values diversity and international collaboration. We believe that diversity is a strength. To create an inclusive culture where all forms of diversity create real value for the company, we have adopted gender diversity targets and inclusion action plans.
  • Achieving CO2 Net Zero as a pioneer of the automotive industry is a priority: In June 2022, Forvia became the first global automotive group to be certified with the new SBTI Net-Zero Standard (the most ambitious standard of SBTi), aligned with the ambition of the 2015 Paris Agreement of limiting global warming to 1.5°C. Three principles guide our action: use less, use better and use longer, with a focus on recyclability and circular economy.

Why join us
FORVIA is an automotive technology group at the heart of smarter and more sustainable mobility. We bring together expertise in electronics, clean mobility, lighting, interiors, seating, and lifecycle solutions to drive change in the automotive industry.
With a history stretching back more than a century, we are the 7th largest global automotive supplier, employing more than 157,000 people in 43 countries. You'll find our technology in around 1 out of 2 vehicles produced anywhere in the world.
In June 2022, we became the 1st global automotive group to be certified with the SBTI Net-Zero Standard. We have committed to reach CO2 Net Zero by no later than 2045.
As technological innovation and the need for sustainability transform the automotive industry, we are ideally positioned to deliver solutions that will enhance the lives of road-users everywhere.

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