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 ...
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 ...
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 ...
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 ...
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Ai Machine Learning Engineer information
See Chicago, IL salary details
$32.5K - $47.6K
1% of jobs
$47.6K - $62.8K
1% of jobs
$62.8K - $78K
5% of jobs
$78K - $93.1K
6% of jobs
$105.7K is the 25th percentile. Wages below this are outliers.
$93.1K - $108.3K
14% of jobs
$108.3K - $123.5K
14% of jobs
The median wage is $131.1K / yr.
$123.5K - $138.6K
18% of jobs
$138.6K - $153.8K
14% of jobs
$156.9K is the 75th percentile. Wages above this are outliers.
$153.8K - $169K
12% of jobs
$169K - $184.2K
11% of jobs
$184.2K - $199.3K
5% of jobs
$32.5K
$132.7K
$199.3K
How much do ai machine learning engineer jobs pay per year?
What is an AI machine learning engineer?
What are the key skills and qualifications needed to thrive as an AI machine learning engineer?
What are some common challenges that AI machine learning engineers face when deploying models to production environments?
What is the difference between Ai Machine Learning Engineer vs Data Scientist?
| Aspect | Ai Machine Learning Engineer | Data Scientist |
|---|---|---|
| Credentials | Degree in CS, AI, or related fields; certifications in ML frameworks | Degree in CS, Statistics, or related fields; certifications in data analysis |
| Work Environment | Develops and deploys ML models in production systems | Analyzes data, builds models, and provides insights |
| Industry Usage | Tech, finance, healthcare, where deploying ML models is key | Research, business intelligence, analytics across industries |
While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.
Is AI Machine Learning Engineer in demand?
What are popular job titles related to Ai Machine Learning Engineer jobs in Chicago, IL?
For Ai Machine Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:
- Machine Learning Engineer
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What job categories do people searching Ai Machine Learning Engineer jobs in Chicago, IL look for?
The top searched job categories for Ai Machine Learning Engineer jobs in Chicago, IL are:
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AI & Machine Learning Engineer
Northbrook, IL • On-site
Other
Re-posted 24 days ago
Job description
LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. Our flagship systems—BRUTE for automated wall panel manufacturing and DEX for on-site collaborative construction—are 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 optimization—all 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.
What you'll work on:Machine Learning Development
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Design, train, and deploy ML models for robotic control, quality prediction, and process optimization
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Develop reinforcement learning and imitation learning systems for robot task planning
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Build predictive maintenance models using sensor data to anticipate equipment failures
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Implement anomaly detection for real‑time quality monitoring during automated assembly
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Optimize model inference for edge deployment on GPU‑accelerated hardware in production
Computer Vision & Perception
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Develop deep learning pipelines for object detection, segmentation, and pose estimation
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Build real‑time vision systems for robotic guidance, workpiece tracking, and dimensional verification
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Implement 3D point cloud processing for construction material recognition
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Design and train models for visual quality inspection using depth cameras and industrial imaging
Data Infrastructure & MLOps
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Build ML data pipelines from sensor acquisition through model training and deployment
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Establish data labeling, versioning, and management workflows for training datasets
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Implement model monitoring, A/B testing, and continuous improvement in production
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Design experiment tracking and reproducibility infrastructure (MLflow, Weights & Biases)
Integration & Deployment
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Integrate ML models with ROS2-based robot control for real‑time inference
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Optimize models for NVIDIA Jetson, industrial PCs, and edge computing platforms
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Collaborate with robotics engineers on sensor selection, placement, and calibration
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Support scaling ML systems across multiple production cells and sites
AI/ML Expertise
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4+ years hands‑on ML engineering building and deploying production models
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Deep proficiency with PyTorch or TensorFlow for model development and training
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Strong computer vision experience: object detection, segmentation, depth estimation, or 3D vision
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Understanding of reinforcement learning, imitation learning, or robot learning approaches
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Experience optimizing ML models for edge deployment (TensorRT, ONNX, quantization)
Software Engineering
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Strong Python with experience in C++ for performance‑critical components
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Experience with ML infrastructure: data pipelines, experiment tracking, model serving
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Proficiency with Linux, Docker, Git, and CI/CD workflows
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Understanding of real‑time system constraints for ML inference in production
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MS or PhD in Machine Learning, Computer Science, Robotics, or related field
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Experience with robotics simulation: MuJoCo, IsaacSIM, or similar
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Background in manufacturing, industrial automation, or construction technology
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Experience with ROS/ROS2 integration for ML‑powered robotics
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Published research or patents in computer vision, robot learning, or related ML
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Experience with NVIDIA ecosystem: CUDA, cuDNN, TensorRT, Jetson platforms
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Build AI systems that directly control physical robots addressing the housing crisis
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Work on rare real‑world ML challenges: real‑time inference, embodied AI, industrial perception
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Access to rich proprietary datasets from production robot cells
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Hands‑on culture with direct access to robots, sensors, and manufacturing environments
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Competitive compensation including salary, equity, and comprehensive benefits
This position is at‑will, meaning either you or the Company may terminate employment at any time, with or without cause or notice.
Equal OpportunityLightSpeed Build Technologies is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome candidates from all backgrounds and experiences.