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

Stefanini

Machine Learning Engineer

Dearborn, MI

... deep learning methods, alongside prompt engineering, retrieval-augmented generation (RAG), and parameter-efficient fine-tuning (PEFT/LoRA) to develop and evaluate algorithms that improve product ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105.20K - $126.30K/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 ...

Varsity Tutors

Machine Learning Tutor

Ann Arbor, MI · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Varsity Tutors

Machine Learning Tutor

Detroit, MI · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or ...

General Motors

AI/ML Staff Researcher

Warren, MI

... learning solutions that accelerate GM's research, engineering, and product development capabilities. This role is intended for a highly accomplished 8th level individual contributor who combines deep ...

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Deep Learning Developer information

See Novi, MI salary details

$16

$36

$47

How much do deep learning developer jobs pay per hour?

As of Jun 3, 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, and why are they important?

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 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 are Deep Learning Developers?

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.

Which 3 jobs will survive AI?

Deep Learning Developers are likely to continue to be in demand as AI advances because they design and improve AI models, requiring specialized skills in programming, mathematics, and data analysis. Other resilient roles include AI ethicists, who address ethical considerations, and AI system trainers, who curate and annotate data to improve AI performance. These jobs involve complex problem-solving and human oversight that are less easily automated.

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 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 May 2026, with employment types broken down into 1% Locum Tenens, 31% Full Time, 62% Part Time, 5% Contract, and 1% Nights. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $75,015 per year, or $36.1 per hour.
Computer Vision Perception Engineer (Autonomous Driving)

Computer Vision Perception Engineer (Autonomous Driving)

Apolis

Detroit, MI

$102K - $120.30K/yr

Other

Posted 26 days ago

Job description

Computer Vision Perception Engineer (Autonomous Driving)

Position Type: Contract

Location: Detroit, MI (Fully onsite)

What You Will Do:

  • Design and implement computer vision algorithms for object detection and segmentation using camera and LiDAR data fusion.
  • Develop deep learning models for 2D and 3D object detection, including implementation and optimization of YOLO, Faster R-CNN, SSD, and transformer-based architectures.
  • Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation.
  • Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy.
  • Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN, U-Net, and DeepLab.
  • Implement and optimize deep learning models specifically designed for LiDAR point clouds, including PointNet, PointNet++, and other 3D neural network architectures.
  • Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
  • Build and maintain computer vision pipelines using OpenCV for image preprocessing, feature extraction, and geometric transformations.
  • Design and implement multi-object tracking systems using Kalman filtering, SORT, and DeepSORT algorithms.
  • Work with ROS2 for integration and deployment of perception algorithms.
  • Optimize deep learning models for edge deployment and real-time inference performance.
  • Develop robust evaluation metrics and testing frameworks for object detection systems.
  • Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
  • Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.

What You Will Bring:

  • Strong expertise in computer vision and deep learning for object detection and segmentation tasks.
  • Proficiency in deep learning frameworks (PyTorch and TensorFlow) with hands-on experience implementing detection models (YOLO, Faster R-CNN, SSD, RetinaNet, Detectron, etc.).
  • Extensive experience with OpenCV for image processing and computer vision applications.
  • Solid background in 3D perception using LiDAR point clouds; proficiency with PCL and Open3D libraries.
  • Familiarity with LiDAR-specific deep learning models such as PointNet, PointNet++, VoxelNet, and other point cloud neural network architectures.
  • Experience in developing and improving perception models for adverse weather conditions (rain, snow, fog) including domain adaptation and robust feature extraction techniques.
  • Experience with sensor fusion techniques for combining camera and LiDAR data streams.
  • Strong programming skills in Python and C++ for algorithm development and optimization.
  • Experience with model optimization techniques for real-time inference.
  • Familiarity with 3D geometry, coordinate transformations, and spatial data processing.
  • Knowledge of evaluation metrics for object detection and tracking systems (mAP, IoU, custom metrics, etc.).

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