As an AI & Machine Learning Engineer, you will design, build, and deploy intelligent systems for ... edge deployment on GPU-accelerated hardware in production • Develop deep learning pipelines for ...
As an AI & Machine Learning Engineer, you will design, build, and deploy intelligent systems for ... edge deployment on GPU-accelerated hardware in production • Develop deep learning pipelines for ...
Sr AI Machine Learning Engineer
Chicago, IL · Hybrid
$117K - $175K/yr
The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing ...
Sr AI Machine Learning Engineer
Chicago, IL · Hybrid
$117K - $175K/yr
The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing ...
Senior AI Machine Learning Engineer
Chicago, IL · Hybrid
$117K - $175K/yr
The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...
Senior AI Machine Learning Engineer
Chicago, IL · Hybrid
$117K - $175K/yr
The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...
Senior AI Machine Learning Engineer
Chicago, IL · Hybrid
$126K - $166K/yr
The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...
Senior AI Machine Learning Engineer
Chicago, IL · Hybrid
$126K - $166K/yr
The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...
Sr AI Machine Learning Engineer
Chicago, IL · Hybrid
$117K - $175K/yr
The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...
Sr AI Machine Learning Engineer
Chicago, IL · Hybrid
$117K - $175K/yr
The Hartford is seeking Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Global Specialty Applied AI team. The Hartford is developing industryleading ...
Senior AI Machine Learning Engineer
Chicago, IL · On-site +1
$107K - $147K/yr
The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...
Senior AI Machine Learning Engineer
Chicago, IL · On-site +1
$107K - $147K/yr
The Hartford seeks a driven, team-focused Senior AI Machine Learning Engineer to build Machine Learning Operations (MLOps) services for the Customer Operations Data Science team. The Hartford is ...
Senior AI Machine Learning Engineer
$126K - $166K/yr
The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and Analytics (EB AIA) to help build, deploy, and sustain enterprise-scale predictive and applied AI ...
Senior AI Machine Learning Engineer
$126K - $166K/yr
The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and Analytics (EB AIA) to help build, deploy, and sustain enterprise-scale predictive and applied AI ...
Senior AI Machine Learning Engineer
Chicago, IL · On-site +1
$107K - $147K/yr
The Hartford is seeking a Senior AI Machine Learning Engineer within Employee Benefits Applied AI and Analytics (EB AIA) to help build, deploy, and sustain enterprise-scale predictive and applied AI ...
Senior AI Machine Learning Engineer
Chicago, IL · On-site +1
$107K - $147K/yr
The Hartford is seeking a Senior AI Machine Learning Engineer within Employee Benefits Applied AI and Analytics (EB AIA) to help build, deploy, and sustain enterprise-scale predictive and applied AI ...
Senior AI Machine Learning Engineer
$117K - $175K/yr
The Hartford is seeking a Senior AI Machine Learning Engineer within Employee Benefits Applied AI and Analytics (EB AIA) to help build, deploy, and sustain enterprise-scale predictive and applied AI ...
Senior AI Machine Learning Engineer
$117K - $175K/yr
The Hartford is seeking a Senior AI Machine Learning Engineer within Employee Benefits Applied AI and Analytics (EB AIA) to help build, deploy, and sustain enterprise-scale predictive and applied AI ...
AI & Decision Intelligence Director
Chicago, IL · On-site
$135K - $236K/yr
In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning, predictive analytics, and intelligent automation capabilities within Revenue Intelligence. The role ...
AI & Decision Intelligence Director
Chicago, IL · On-site
$135K - $236K/yr
In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning, predictive analytics, and intelligent automation capabilities within Revenue Intelligence. The role ...
AI & Decision Intelligence Director
Chicago, IL · On-site
$135K - $236K/yr
In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning, predictive analytics, and intelligent automation capabilities within Revenue Intelligence. The role ...
AI & Decision Intelligence Director
Chicago, IL · On-site
$135K - $236K/yr
In this role, the AI & Decision Intelligence Director establishes and scales AI, machine learning, predictive analytics, and intelligent automation capabilities within Revenue Intelligence. The role ...
Machine Learning Engineer
$95K - $138K/yr
As a global leader in ratings and integrated risk assessment, we're advancing AI to move from ... Experience with machine learning operations practices, including continuous integration and ...
New
Machine Learning Engineer
$95K - $138K/yr
As a global leader in ratings and integrated risk assessment, we're advancing AI to move from ... Experience with machine learning operations practices, including continuous integration and ...
New
AVP, Machine Learning & Modeling
Chicago, IL · On-site
$156K - $290K/yr
... of cutting-edge machine learning methodologies. Role Responsibilities: Strategic Leadership and ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.
AVP, Machine Learning & Modeling
Chicago, IL · On-site
$156K - $290K/yr
... of cutting-edge machine learning methodologies. Role Responsibilities: Strategic Leadership and ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.
AVP, Machine Learning & Modeling
$156K - $290K/yr
... of cutting-edge machine learning methodologies. Role Responsibilities: Strategic Leadership and ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.
AVP, Machine Learning & Modeling
$156K - $290K/yr
... of cutting-edge machine learning methodologies. Role Responsibilities: Strategic Leadership and ... Research and Innovation Stay at the forefront of emerging AI and machine learning technologies.
Senior Machine Learning Engineer
Schaumburg, IL · On-site
$120K - $159K/yr
Baking AI Ethics into all of our processes as a first-class citizen (Blog Post) * Working in a ... Excited to work on cutting-edge technology! Primary Responsibilities The below represents the ...
Quick apply
Senior Machine Learning Engineer
Schaumburg, IL · On-site
$120K - $159K/yr
Baking AI Ethics into all of our processes as a first-class citizen (Blog Post) * Working in a ... Excited to work on cutting-edge technology! Primary Responsibilities The below represents the ...
Baking AI Ethics into all of our processes as a first-class citizen (Blog Post) * Working in a ... Leverage cutting-edge big data technologies on AWS utilizing Databricks and Spark to develop ...
Quick apply
Baking AI Ethics into all of our processes as a first-class citizen (Blog Post) * Working in a ... Leverage cutting-edge big data technologies on AWS utilizing Databricks and Spark to develop ...
Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...
Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...
Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...
Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...
Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...
Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...
Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...
Quick apply
Interest in AI, machine learning, or emerging technologies What We Offer * Paid, flexible task-based work * Opportunity to work on innovative AI/ML projects * Exposure to cutting-edge technologies ...
Trainee Edge Ai Machine Learning information
What is the difference between Trainee Edge Ai Machine Learning vs Data Analyst?
| Aspect | Trainee Edge Ai Machine Learning | Data Analyst |
|---|---|---|
| Required Credentials | Basic programming, introductory AI/ML courses | Statistics, data visualization, Excel, SQL |
| Work Environment | Tech companies, AI startups, R&D labs | Business, finance, marketing departments |
| Industry Usage | Developing AI models, machine learning pipelines | Interpreting data, generating reports |
While both roles involve working with data, Trainee Edge Ai Machine Learning focuses on developing and training AI models, requiring programming and machine learning knowledge. Data Analysts primarily interpret existing data to inform business decisions, emphasizing statistical analysis and visualization skills. The roles differ in technical depth and focus but often overlap in data handling and industry usage.
What are the most commonly searched types of Edge Ai Machine Learning jobs in Chicago, IL?
The most popular types of Edge Ai Machine Learning jobs in Chicago, IL are:
What are popular job titles related to Trainee Edge Ai Machine Learning jobs in Chicago, IL?
For Trainee Edge Ai Machine Learning jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Trainee Edge Ai Machine Learning jobs in Chicago, IL look for?
The top searched job categories for Trainee Edge Ai Machine Learning jobs in Chicago, IL are:
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Cities near Chicago, IL with the most Trainee Edge Ai Machine Learning job openings:
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.
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.