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Senior Machine Learning Engineer Jobs in Oak Brook, IL

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 ...

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 ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$127K - $167K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Hardware Machine Learning Engineer

Chicago, IL ยท On-site

$200K - $225K/yr

... engineers to implement, verify, and deploy ML inference solutions from proof-of-concept through production * Track and evaluate emerging research in neural architecture search, machine learning ...

Machine Learning Engineering Manager

Chicago, IL ยท On-site

$118K - $141K/yr

Experience working as a Machine Learning Engineer or Data Scientist building and productional machine learning solutions * Experience building real-time event-driven stream processing solutions with ...

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Showing results 41-60

Senior Machine Learning Engineer information

See Oak Brook, IL salary details

$60K

$127.7K

$185.2K

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

As of Aug 9, 2026, the average yearly pay for senior machine learning engineer in Oak Brook, IL is $127,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $144,800.00 per year, depending on experience, location, and employer.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are popular job titles related to Senior Machine Learning Engineer jobs in Oak Brook, IL? For Senior Machine Learning Engineer jobs in Oak Brook, IL, the most frequently searched job titles are:
What cities near Oak Brook, IL are hiring for Senior Machine Learning Engineer jobs? Cities near Oak Brook, IL with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Oak Brook, IL as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $127,725 per year, or $61.4 per hour.

AI & Machine Learning Engineer

Lightspeed

Northbrook, IL โ€ข On-site

$100 - $130/hr

Other

Posted 19 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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