... learning models for computer vision, predictive analytics, and process optimization ... Required : • 4+ years hands-on ML engineering building and deploying production models • Deep ...
... learning models for computer vision, predictive analytics, and process optimization ... Required : • 4+ years hands-on ML engineering building and deploying production models • Deep ...
Senior Machine Learning Engineer
Chicago, IL · Remote
$165K - $225K/yr
Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...
Quick apply
Senior Machine Learning Engineer
Chicago, IL · Remote
$165K - $225K/yr
Design and implement novel computer vision and deep learning algorithms for virtual staining and ... Knowledge of software engineering best practices including version control (Git) and CI/CD ...
Director of Computer Vision
Tennessee, IL · On-site
Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...
Director of Computer Vision
Tennessee, IL · On-site
Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...
Director of Computer Vision
Virginia, IL · On-site
Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...
Director of Computer Vision
Virginia, IL · On-site
Technical Vision, Engineering Leadership, and Execution: Provide executive technical leadership to ... Deep, demonstrable expertise in computer vision, machine learning algorithms, and the end-to-end ...
Staff Software Engineer, Machine Learning (Computer Vision)
Chicago, IL · On-site
$150K - $190K/yr
... computer vision to map and monitor their sidewalks ... We have ongoing contracts with cities, universities, and engineering firms. In the past year, we've ...
Staff Software Engineer, Machine Learning (Computer Vision)
Chicago, IL · On-site
$150K - $190K/yr
... computer vision to map and monitor their sidewalks ... We have ongoing contracts with cities, universities, and engineering firms. In the past year, we've ...
AI/ML Engineer
Chicago, IL · On-site
Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision
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AI/ML Engineer
Chicago, IL · On-site
Position: AI/ML Engineer Duration: 12 months Location: Chicago, IL An AI/ML Engineer designs ... Deep understanding of machine learning, deep learning, data mining, algorithms, and computer vision
AI/ML Engineer
O Fallon, IL · On-site
$99K - $225K/yr
Experience with project work in deep learning, computer vision, NLP, or signal processing ... as well as contract-specific affordability and organizational requirements. The projected ...
AI/ML Engineer
O Fallon, IL · On-site
$99K - $225K/yr
Experience with project work in deep learning, computer vision, NLP, or signal processing ... as well as contract-specific affordability and organizational requirements. The projected ...
Sr. AI/ML Engineer
Deerfield, IL · On-site
$106K - $145K/yr
... learning, deep learning, and AI system deployment * Strong Python engineering background with ML/DL frameworks: TensorFlow, PyTorch, Keras, OpenCV * Proven experience in Computer Vision tasks ...
Sr. AI/ML Engineer
Deerfield, IL · On-site
$106K - $145K/yr
... learning, deep learning, and AI system deployment * Strong Python engineering background with ML/DL frameworks: TensorFlow, PyTorch, Keras, OpenCV * Proven experience in Computer Vision tasks ...
Research Scientist/Research Engineer | Deep Learning
Chicago, IL · On-site
$200K - $350K/yr
We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... vision insurance - HSA, FSA, and Dependent Care options - Employer Paid Group Term Life and AD&D ...
Research Scientist/Research Engineer | Deep Learning
Chicago, IL · On-site
$200K - $350K/yr
We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... vision insurance - HSA, FSA, and Dependent Care options - Employer Paid Group Term Life and AD&D ...
Sales - Build Your Own Role
Chicago, IL · On-site
Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...
Quick apply
Sales - Build Your Own Role
Chicago, IL · On-site
Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...
Sales - Build Your Own Role
Chicago, IL · On-site +1
Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...
Sales - Build Your Own Role
Chicago, IL · On-site +1
Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...
Machine Learning Engineer
Manteno, IL · On-site
Design and implement novel machine learning and deep learning models tailored to internal research ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...
Machine Learning Engineer
Manteno, IL · On-site
Design and implement novel machine learning and deep learning models tailored to internal research ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...
Deep understanding of computer vision and machine learning, machine learning lifecycle (MLOps ... Demonstrated ability to engage in technical discussions with engineering teams, understand ...
Deep understanding of computer vision and machine learning, machine learning lifecycle (MLOps ... Demonstrated ability to engage in technical discussions with engineering teams, understand ...
... machine learning, or a related field ; - Degree in Computer Science, Data Science, Engineering ... of computer vision principles (e.g., image processing, object detection basics); - Basic ...
... machine learning, or a related field ; - Degree in Computer Science, Data Science, Engineering ... of computer vision principles (e.g., image processing, object detection basics); - Basic ...
Campus AI Research Engineer - Deep Learning (Full-Time)
Chicago, IL · On-site
$300K/yr
We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... Benefits - Discretionary bonus eligibility - Medical, dental, and vision insurance - HSA, FSA, and ...
Campus AI Research Engineer - Deep Learning (Full-Time)
Chicago, IL · On-site
$300K/yr
We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific ... Benefits - Discretionary bonus eligibility - Medical, dental, and vision insurance - HSA, FSA, and ...
... and deep learning models, including NLP and computer vision solutions, to solve high-impact ... Perform feature engineering, data validation, and quality assurance across large, complex datasets
... and deep learning models, including NLP and computer vision solutions, to solve high-impact ... Perform feature engineering, data validation, and quality assurance across large, complex datasets
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Learn and understand a large body of research in deep learning and machine learning * Participate in cutting-edge research for medical applications of computer vision Must Have Experience
Contract Computer Vision Deep Learning Engineer information
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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.