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Machine Learning Object Detection Jobs in Maybee, MI

Varsity Tutors

Machine Learning Tutor

Ann Arbor, MI · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site

$102.20K - $140.40K/yr

Hands-on machine learning and dataset curation experience, with a demonstrated history of ... object detection. * Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and ...

Torc Robotics

Senior, ML Engineer - Auto Tagger

Ann Arbor, MI · On-site +1

$102.20K - $140.40K/yr

Hands-on machine learning and dataset curation experience, with a demonstrated history of ... object detection. * Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and ...

KLA Corporation

Software Engineer (E)

Ann Arbor, MI · On-site

$91.20K - $155K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Experience in object-oriented programming or object-oriented design is expected. E) The candidate ...

Orbotech

Software Engineer (E)

Ann Arbor, MI

$91.20K - $155K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Experience in object-oriented programming or object-oriented design is expected. E) The candidate ...

Orbotech

Software Engineer (E)

Ann Arbor, MI · On-site

$110.90K - $188.50K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Experience in object-oriented programming or object-oriented design is expected. E) The candidate ...

KLA Corporation

Software Engineer (E)

Ann Arbor, MI · On-site

$91.20K - $155K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Experience in object-oriented programming or object-oriented design is expected. E) The candidate ...

KLA Corporation

Software Engineer (E)

Ann Arbor, MI · On-site

$110.90K - $188.50K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Experience in object-oriented programming or object-oriented design is expected. E) The candidate ...

KLA Corporation

Software Engineer (E)

Ann Arbor, MI · On-site

$110.90K - $188.50K/yr

Although familiarity with Machine Learning and Deep Learning solutions would be a huge plus. C ... Experience in object-oriented programming or object-oriented design is expected. E) The candidate ...

Varsity Tutors

Python Tutor

Ann Arbor, MI · Remote

$40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming ... Emphasizes readable, maintainable code and connects Python to machine learning, web scraping ...

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All JobsMachine Learning Object Detection JobsMachine Learning Object Detection Jobs in Maybee, MI

Machine Learning Object Detection information

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$29.4K

$120K

$180.4K

How much do machine learning object detection jobs pay per year?

As of Jun 4, 2026, the average yearly pay for machine learning object detection in Maybee, MI is $120,019.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What job categories do people searching Machine Learning Object Detection jobs in Maybee, MI look for? The top searched job categories for Machine Learning Object Detection jobs in Maybee, MI are:
What cities near Maybee, MI are hiring for Machine Learning Object Detection jobs? Cities near Maybee, MI with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Computer Vision Perception Engineer (Autonomous Driving)

Computer Vision Perception Engineer (Autonomous Driving)

Apolis

Dearborn Heights, MI • On-site

$102.80K - $121.30K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: Computer Vision Perception Engineer (Autonomous Driving)
Position Type: Contract
Location: Detroit, MI (Fully onsite)
Job Description:
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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