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Object Detection Jobs in Chicago, IL (NOW HIRING)

NAVA Software Solutions

Sr. AI/ML Engineer

Deerfield, IL · On-site

$106K - $145K/yr

Proven experience in Computer Vision tasks, including object detection, segmentation, and OCR * Experience training and fine-tuning models such as: YOLOv5/v8, EfficientNet, Faster-RCNN, TrOCR, Vision ...

Sub Source

NDT Level II Inspector

Bloomingdale, IL · On-site

$22 - $30/hr

Conduct tests on product (castings, forgings, etc.) to ensure quality or detect discontinuities ... Use testing processes that do not damage the structure of the object being tested. Interpret or ...

voestalpine High Performance Metals

Be Seen First

Grinder Operator (1st and 2nd shift)

Elgin, IL · On-site

$17.25 - $21.50/hr

... detect any problems; make necessary adjustments to correct problems. ● Activate machine start-up ... object or scene. * Manual Dexterity - The ability to quickly move your hand, your hand together ...

Daifuku

ILUS - Brake Press Operator

Hobart, IN · On-site

$18 - $23.50/hr

Observing machine operation to detect workpiece defects or machine malfunction * Performing minor ... Applying pressure to an object with the fingers and palm. * Hearing: Perceiving the nature of ...

Morningstar, Inc.

Software Engineer

Chicago, IL · On-site

$89K - $131K/yr

Implement monitoring, logging, and alerting to proactively detect, diagnose, and prevent production ... Knowledge and practical experience with domain modeling and object-oriented design patterns and ...

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All JobsObject Detection JobsObject Detection Jobs in Chicago, IL

Object Detection information

See Chicago, IL salary details

$19

$54

$78

How much do object detection jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for object detection in Chicago, IL is $54.71, according to ZipRecruiter salary data. Most workers in this role earn between $42.36 and $70.58 per hour, depending on experience, location, and employer.

What is the difference between Object Detection vs Computer Vision Engineer?

AspectObject DetectionComputer Vision Engineer
Required CredentialsKnowledge of machine learning, deep learning, and computer vision frameworksSame as Object Detection, often with additional programming and software development skills
Work EnvironmentResearch labs, tech companies, AI startups focusing on image/video analysisBroader environments including robotics, autonomous vehicles, medical imaging, and multimedia
Industry UsagePrimarily in AI, robotics, surveillance, and autonomous systemsIn various sectors like automotive, healthcare, security, and entertainment

Object Detection specialists focus specifically on identifying and locating objects within images or videos, often using deep learning models. Computer Vision Engineers have a broader role, developing systems that interpret visual data, which includes object detection as one of their tasks. Both roles require similar skills and credentials but differ in scope and application.

What are popular job titles related to Object Detection jobs in Chicago, IL? For Object Detection jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Object Detection jobs in Chicago, IL look for? The top searched job categories for Object Detection jobs in Chicago, IL are:
Object Detection jobs near you
Infographic showing various Object Detection job openings in Chicago, IL as of July 2026, with employment types broken down into 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $113,794 per year, or $54.7 per hour.

AI & Machine Learning Engineer

Lightspeed

Northbrook, IL • On-site

Full-time

Posted 15 days ago

Job description

Job Summary:
LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. As an AI & Machine Learning Engineer, you will design, build, and deploy intelligent systems for construction robots, focusing on machine learning models for computer vision, predictive analytics, and process optimization.
Responsibilities:
• Design, train, and deploy ML models for robotic control, quality prediction, and process optimization
• Develop reinforcement learning and imitation learning systems for robot task planning
• Build predictive maintenance models using sensor data to anticipate equipment failures
• Implement anomaly detection for real-time quality monitoring during automated assembly
• Optimize model inference for edge deployment on GPU-accelerated hardware in production
• Develop deep learning pipelines for object detection, segmentation, and pose estimation
• Build real-time vision systems for robotic guidance, workpiece tracking, and dimensional verification
• Implement 3D point cloud processing for construction material recognition
• Design and train models for visual quality inspection using depth cameras and industrial imaging
• Build ML data pipelines from sensor acquisition through model training and deployment
• Establish data labeling, versioning, and management workflows for training datasets
• Implement model monitoring, A/B testing, and continuous improvement in production
• Design experiment tracking and reproducibility infrastructure (MLflow, Weights & Biases)
• Integrate ML models with ROS2-based robot control for real-time inference
• Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms
• Collaborate with robotics engineers on sensor selection, placement, and calibration
• Support scaling ML systems across multiple production cells and sites
Qualifications:
Required:
• 4+ years hands-on ML engineering building and deploying production models
• Deep proficiency with PyTorch or TensorFlow for model development and training
• Strong computer vision experience: object detection, segmentation, depth estimation, or 3D vision
• Understanding of reinforcement learning, imitation learning, or robot learning approaches
• Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization)
• Strong Python with experience in C++ for performance-critical components
• Experience with ML infrastructure: data pipelines, experiment tracking, model serving
• Proficiency with Linux, Docker, Git, and CI/CD workflows
• Understanding of real-time system constraints for ML inference in production
Preferred:
• MS or PhD in Machine Learning, Computer Science, Robotics, or related field
• Experience with robotics simulation: MuJoCo, IsaacSIM, or similar
• Background in manufacturing, industrial automation, or construction technology
• Experience with ROS/ROS2 integration for ML-powered robotics
• Published research or patents in computer vision, robot learning, or related ML
• Experience with NVIDIA ecosystem: CUDA, cuDNN, TensorRT, Jetson platforms
Company:
BUILDING TOMORROW'S HOMES, FASTER AND SMARTER The Lightspeed Integrated Walls, Floors and Roof Systems are built with advanced software and AI driven industrial robots, allowing us to seamlessly craft the walls, floors and roofs, integrating the framing, MEPs, insulation, and drywall in a single, efficient manufacturing line. Founded in , the company is headquartered in , , with a team of 11-50 employees. The company is currently Early Stage.

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