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Internship Medical Imaging Machine Learning Jobs in Illinois

As an AI & Machine Learning Engineer, you will design, build, and deploy the intelligent systems ... Design and train models for visual quality inspection using depth cameras and industrial imaging ...

TEKsystems is seeking a Machine Learning Engineer to support one of our major customers that sits ... If eligible, the benefits available for this temporary role may include the following: • Medical ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Senior Machine Learning Engineer

Schaumburg, IL · On-site

$120K - $159K/yr

We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that ... Senior Engineer Machine Learning Position Overview Paylocity is growing its Machine Learning ...

Join to apply for the Medical Imaging Physicist role at Fluke Health Solutions The successful ... learning and growth. We use the proven Fortive Business System (FBS) to accelerate our positive ...

Showing results 21-40

Internship Medical Imaging Machine Learning information

What is an internship in medical imaging machine learning?

An Internship in Medical Imaging Machine Learning is a temporary position, typically held by students or recent graduates, where individuals gain practical experience applying machine learning techniques to medical imaging data. Interns work alongside professionals to develop, train, and evaluate algorithms that help interpret medical images such as X-rays, MRIs, or CT scans. These roles often involve data preprocessing, model development, and performance analysis, providing valuable hands-on experience in both healthcare and artificial intelligence. This internship is ideal for those interested in combining expertise in computer science, machine learning, and medical diagnostics.

What types of projects can I expect to work on during an internship in medical imaging machine learning?

As an intern in medical imaging machine learning, you'll typically contribute to projects involving the development and validation of algorithms for tasks such as image segmentation, classification, or anomaly detection using clinical imaging data. Daily responsibilities often include data preprocessing, model training and evaluation, and collaborating with research scientists and clinicians to interpret results. You'll also have opportunities to participate in team meetings, present findings, and receive mentorship, which can help you build both technical and domain-specific skills for future roles in healthcare AI.

What are the key skills and qualifications needed to thrive as an intern in medical imaging machine learning?

To thrive in a Medical Imaging Machine Learning internship, you need a solid background in computer science, mathematics, and biomedical engineering, typically supported by coursework or experience in machine learning and image processing. Familiarity with Python, TensorFlow or PyTorch, and medical imaging tools such as DICOM viewers is commonly required. Strong analytical thinking, problem-solving abilities, and effective teamwork set candidates apart in this field. These skills and qualities enable interns to contribute meaningfully to research and development projects, ensuring accurate analysis and innovation in medical imaging solutions.

What are the most commonly searched types of Medical Imaging Machine Learning jobs in Illinois?

The most popular types of Medical Imaging Machine Learning jobs in Illinois are:

What are popular job titles related to Internship Medical Imaging Machine Learning jobs in Illinois?

For Internship Medical Imaging Machine Learning jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Internship Medical Imaging Machine Learning jobs in Illinois look for?

The top searched job categories for Internship Medical Imaging Machine Learning jobs in Illinois are:

What cities in Illinois are hiring for Internship Medical Imaging Machine Learning jobs?

Cities in Illinois with the most Internship Medical Imaging Machine Learning job openings:

Infographic showing various Internship Medical Imaging Machine Learning job openings in Illinois as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution.

AI & Machine Learning Engineer

Northbrook, IL • On-site

$100 - $130/hr

Other

Re-posted 4 days ago


Job description

About LightSpeed

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

  • 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 Qualifications:

AI/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.

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