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Intern Computer Vision Deep Learning Engineer Jobs in Illinois

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Design and implement novel machine learning and deep learning models tailored to internal research ... D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied ...

ONETRACK.AI

Sales - Build Your Own Role

Chicago, IL · On-site +1

Founded in 2017, OneTrack combines computer vision, deep learning, and low-cost edge sensors to give operations leaders real-time visibility, safety enforcement, and AI-powered automation across ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

Sony

$50/hr

... computer vision, and audio signal processing. * Strong analytical and programming skills in deep ... learning (e.g., PyTorch ) and visualization (e.g., TensorBoard ). * Experience in research ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Illinois

Intern Computer Vision Deep Learning Engineer information

What does an intern computer vision deep learning engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.

What types of projects or tasks can I expect to work on as an intern computer vision deep learning engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Illinois?

The most popular types of Computer Vision Deep Learning Engineer jobs in Illinois are:

What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Illinois?

For Intern Computer Vision Deep Learning Engineer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Illinois look for?

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Cities in Illinois with the most Intern Computer Vision Deep Learning Engineer job openings:

Intern Computer Vision Deep Learning Engineer jobs near you

Machine Learning Engineer

Gotion, Inc.

Manteno, IL • On-site

Full-time

Re-posted 12 days ago

Job description

About The Team
The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities.

Role Summary

We are seeking a highly motivated Machine Learning Engineer with a strong background in model architecture design and algorithm development, ideally with experience in scientific domains such as battery technology, energy systems, or related physical sciences. This is a fully on-site role based in Manteno, IL focused on building innovative ML models from the ground up.

You will collaborate closely with cross-disciplinary R&D teams to develop and deploy machine learning solutions that address real-world challenges in advanced materials, electrochemical systems, and high-throughput data environments.

Essential Duties and Responsibilities:

  • Design and implement novel machine learning and deep learning models tailored to internal research needs
  • Prototype and evaluate state-of-the-art algorithms, including Transformers, LLMs, and hybrid model architectures
  • Conduct rigorous experimentation, benchmarking, and ablation studies
  • Collaborate with battery scientists and domain experts to incorporate physical constraints or scientific priors into modeling
  • Contribute to internal documentation and present research outcomes to technical and leadership teams
  • Track and integrate advances from the ML research community to ensure technical excellence

Required Qualifications:

  • Ph.D. (preferred) or M.S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related field
  • Demonstrated expertise in model development, optimization, and algorithmic innovation
  • Proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, etc.
  • Solid understanding of learning theory concepts such as regularization, generalization, loss functions, and evaluation metrics
  • Experience working with scientific or time-series datasets, especially in battery, materials, or energy domains, is highly desirable
  • A publication record in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, CVPR) is a strong plus
  • Excellent communication, collaboration, and problem-solving skills in interdisciplinary environments

The US base salary range for this full-time position is $80,000.00 - $90,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.   

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