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Trainee Edge Ai Machine Learning Jobs in Illinois

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

... machine learning/AI engineer . In other words, SynergisticIT focuses on building candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI based on ...

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 · Hybrid

$126.20K - $166.40K/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 ...

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Trainee Edge Ai Machine Learning information

What is the difference between Trainee Edge Ai Machine Learning vs Data Analyst?

AspectTrainee Edge Ai Machine LearningData Analyst
Required CredentialsBasic programming, introductory AI/ML coursesStatistics, data visualization, Excel, SQL
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting 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 Illinois? The most popular types of Edge Ai Machine Learning jobs in Illinois are:
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What cities in Illinois are hiring for Trainee Edge Ai Machine Learning jobs? Cities in Illinois with the most Trainee Edge Ai Machine Learning job openings:
Staff AI & Machine Learning Engineer

Staff AI & Machine Learning Engineer

Swift HR Solutions

Northbrook, IL • On-site

Full-time

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


Job description

About LightSpeed

https://lightspeed.build/

LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. Our flagship systemsBRUTE for automated wall panel manufacturing and DEX for on-site collaborative constructionare addressing the global housing crisis by delivering unprecedented speed, precision, and affordability in homebuilding.

Position Overview

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems that make LightSpeed's construction robots smarter, faster, and more autonomous. You will develop machine learning models for computer vision, predictive analytics, autonomous decision-making, and process optimizationall deployed in real-time production environments where precision and reliability are critical. This role sits at the intersection of cutting-edge AI research and practical industrial application.

Key ResponsibilitiesMachine Learning Development
  • 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
Computer Vision & Perception
  • 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
Data Infrastructure & MLOps
  • 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)
Integration & Deployment
  • 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
Required QualificationsAI/ML Expertise
  • 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)
Software Engineering
  • 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 Qualifications
  • 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
Why Join LightSpeed
  • Build AI systems that directly control physical robots addressing the housing crisis
  • Work on rare real-world ML challenges: real-time inference, embodied AI, industrial perception
  • Access to rich proprietary datasets from production robot cells
  • Hands-on culture with direct access to robots, sensors, and manufacturing environments
  • Competitive compensation including salary, equity, and comprehensive benefits
Employment Relationship

This position is at-will, meaning either you or the Company may terminate employment at any time, with or without cause or notice.

Equal Opportunity

LightSpeed Build Technologies is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and experiences.