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Deep Learning Developer Jobs in Novi, MI (NOW HIRING)

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.

New

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

Programming & Frameworks : Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL * Machine Learning & AI : Large Language Models (LLMs), Generative AI, RAG, Generative AI, Deep ...

Stellantis

Principal AI Engineer

Auburn Hills, MI · On-site

We are seeking a Principal AI Engineer with deep, hands-on experience in Large Language Models ... Solid background in deep learning and applied machine learning . * Strong analytical and ...

New

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All JobsDeep Learning Developer JobsDeep Learning Developer Jobs in Novi, MI

Deep Learning Developer information

See Novi, MI salary details

$16

$36

$47

How much do deep learning developer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for deep learning developer in Novi, MI is $36.06, according to ZipRecruiter salary data. Most workers in this role earn between $30.67 and $40.14 per hour, depending on experience, location, and employer.

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 near Novi, MI are hiring for Deep Learning Developer jobs? Cities near Novi, MI with the most Deep Learning Developer job openings:
Deep Learning Developer jobs near you
Infographic showing various Deep Learning Developer job openings in Novi, MI as of June 2026, with employment types broken down into 1% As Needed, 55% Full Time, 42% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $75,015 per year, or $36.1 per hour.

Project Engineer

Optimal Inc.

Warren, MI • On-site

Full-time

Re-posted 8 days ago

Job description

Project Engineers:
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 on tiny defect detection.
Design custom image segmentation and stitching algorithm, improving defect localization and real-time quality control.
Build GUI-based visualization software via PyQt for interactive defect analysis, supporting ROI (region of interest) marking, dynamic scaling, defect result display and automated quality analysis reports generation.
Primary worksite is Plymouth MI but relocation possible.
Req: Master's degree in Mechanical or Electrical Engineering or related field. Ref: #115.

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