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Ai Machine Learning Engineer Jobs in Illinois (NOW HIRING)

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 ...

This person will be mentoring and training on the AI strategy in this area for all of Life Underwriting โ€ข Machine Learning Engineer with proven experience in legacy transformations (mainframe ...

New

Senior AI Machine Learning Engineer

Chicago, IL ยท 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 ยท 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 ...

Machine Learning Engineer Position Overview Paylocity is growing its Machine Learning Engineering ... Baking AI Ethics into all our processes as a first-class citizen (Blog Post) * Working in a ...

Senior AI Machine Learning Engineer

Chicago, IL ยท On-site

$126K - $166K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ...

Remote Machine Learning Engineer

Lemont, IL ยท On-site

$90 - $150/hr

We're looking for a Machine Learning Engineer to help build and improve AI-powered products. You'll work with large datasets, train and evaluate machine learning models, and collaborate with software ...

New

Senior Machine Learning Engineer

Schaumburg, IL ยท On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Baking AI Ethics into all of our processes as a first-class citizen (Blog Post) * Working in a ...

Senior Machine Learning Engineer

Schaumburg, IL ยท On-site

$120K - $159K/yr

Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ... Baking AI Ethics into all our processes as a first-class citizen (Blog Post) * Working in a ...

Machine Learning Engineer

Chicago, IL ยท On-site +1

$95 - $105/hr

Description Supplier Call notes Sr. ML Engineer - AI Space Posting new . Additional Role - Same ... Applying the latest techniques and approaches across the domains of data science, machine learning ...

Machine Learning Engineer

Chicago, IL ยท On-site

$80 - $120/hr

Apply ML/AI tools like TensorFlow/PyTorch to build and train models for various applications ... Engineering, Physics or related field; 4-8 years experience working in Machine Learning; Experience ...

New

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... The Logistics AI group is responsible for the intelligence and execution behind Instacart ...

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Showing results 1-20

Ai Machine Learning Engineer information

See Illinois salary details

$30.5K

$124.8K

$187.5K

How much do ai machine learning engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai machine learning engineer in Illinois is $124,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,400.00 and $150,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI machine learning engineer?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI machine learning engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

What is an AI machine learning engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

What is the difference between Ai Machine Learning Engineer vs Data Scientist?

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, 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.

What cities in Illinois are hiring for Ai Machine Learning Engineer jobs? Cities in Illinois with the most Ai Machine Learning Engineer job openings:
Infographic showing various Ai Machine Learning Engineer job openings in Illinois as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 25% Part Time, 4% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $124,780 per year, or $60 per hour.

AI & Machine Learning Engineer

Lightspeed

Northbrook, IL โ€ข On-site

$100 - $130/hr

Other

Posted 17 days ago


Job description

About LightSpeed

LightSpeed Build Technologies is revolutionizing the construction industry through AI-powered robotics. Our flagship systemsโ€”BRUTE for automated wall panel manufacturing and DEX for on-site collaborative constructionโ€”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 LightSpeedโ€™s construction robots smarter, faster, and more autonomous. You will develop machine learning models for computer vision, predictive analytics, autonomous decisionโ€‘making, and process optimizationโ€”all deployed in realโ€‘time production environments where precision and reliability are critical. This role sits at the intersection of cuttingโ€‘edge AI research and practical industrial application.

What you'll work on:

Machine 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 realโ€‘time quality monitoring during automated assembly

  • Optimize model inference for edge deployment on GPUโ€‘accelerated hardware in production

Computer Vision & Perception

  • Develop deep learning pipelines for object detection, segmentation, and pose estimation

  • Build realโ€‘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 realโ€‘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 Qualifications:

AI/ML Expertise

  • 4+ years handsโ€‘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 performanceโ€‘critical components

  • Experience with ML infrastructure: data pipelines, experiment tracking, model serving

  • Proficiency with Linux, Docker, Git, and CI/CD workflows

  • Understanding of realโ€‘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 MLโ€‘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 realโ€‘world ML challenges: realโ€‘time inference, embodied AI, industrial perception

  • Access to rich proprietary datasets from production robot cells

  • Handsโ€‘on culture with direct access to robots, sensors, and manufacturing environments

  • Competitive compensation including salary, equity, and comprehensive benefits

Employment Relationship

This position is atโ€‘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.

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