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Temporary Computer Vision Deep Learning Engineer Jobs in Chicago, IL

Lead Machine Learning Engineer

Chicago, IL · On-site

$105K - $139K/yr

You will leverage your deep understanding of modern architectures to lead the development of ... You have experience in developing a technical vision and strategy, keeping it relevant and aligned ...

Sr. Machine Learning Engineer

Chicago, IL · On-site

$107K - $147K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next ... Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or ...

Senior Data Scientist

Chicago, IL · On-site

$140K - $180K/yr

... computer vision, and other cutting-edge techniques. Key Responsibilities: * Lead advanced Data ... deep learning, and NLP. * Conduct rigorous exploratory data analysis and feature engineering to ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Showing results 41-60

Temporary Computer Vision Deep Learning Engineer information

See Chicago, IL salary details

$50K

$125.2K

$141.6K

How much do temporary computer vision deep learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for temporary computer vision deep learning engineer in Chicago, IL is $125,178.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,900.00 and $135,500.00 per year, depending on experience, location, and employer.

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

AspectTemporary Computer Vision Deep Learning EngineerComputer Vision Engineer
CredentialsBachelor's or Master's in CS, AI, or related; experience with deep learning frameworksBachelor's or Master's in CS, AI, or related; experience with computer vision tools
Work EnvironmentProject-based, short-term contracts, often in tech or research firmsFull-time, ongoing roles in tech companies, startups, or research labs
Industry UsageCommon in consulting, research projects, or temporary assignmentsStandard role in product development, AI solutions, and software engineering

The main difference is that a Temporary Computer Vision Deep Learning Engineer works on short-term projects focusing on deep learning techniques for computer vision, while a Computer Vision Engineer typically holds a permanent position involved in ongoing development of computer vision applications. The temporary role emphasizes flexibility and project-specific skills, whereas the full-time role involves continuous integration into a company's long-term projects.

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

The most popular types of Computer Vision Deep Learning Engineer jobs in Chicago, IL are:

What are popular job titles related to Temporary Computer Vision Deep Learning Engineer jobs in Chicago, IL?

For Temporary Computer Vision Deep Learning Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Temporary Computer Vision Deep Learning Engineer jobs in Chicago, IL look for?

The top searched job categories for Temporary Computer Vision Deep Learning Engineer jobs in Chicago, IL are:

CT Research Scientist Intern Vernon Hills, IL

ESR Healthcare

Vernon Hills, IL • On-site

$31 - $37/hr

Full-time, Internship

This job post has expired today. Applications are no longer accepted.


Job description

Job Description: CT Research Scientist Intern Vernon Hills, IL, US Salary Range: $31.00 To $37.00 Hourly The ADVANCE Program is a structured program with goals and expectations designed to provide students with an opportunity to gain hands-on work experience by participating in significant work projects. Students will take on assignments throughout the term related to CMRU project needs depending on their skills and interests. The goal of these activities is to make important contributions to CMRU programs while at the same time significantly advancing the students professional and personal development. SUMMARY OF POSITION CMRU is looking for one qualified intern to join our Computed Tomography (CT) research department where the student will participate in exciting projects using latest technology for medical imaging. Students will be mentored by leading experts in the field to gain hands-on experience to develop and validate products, explore the full potential for various clinical applications and features, and contribute to the next generation of spectral CT system. This internship offers a great opportunity to see how your research ideas can come to life and make a difference in countries around the world. RESPONSIBILITIES Develop advanced algorithms to address complex research problems in Computed Tomography. Investigate Deep-Learning based method to solve challenging image reconstruction or image processing tasks. Design and implement advanced algorithms for next-generation products, such as Photon Counting CT. Summarize work in the form of reports and presentations. QUALIFICATIONS The ideal candidate is a full-time graduate student at an accredited college or university working towards an M.S. or Ph.D. in Biomedical Engineering, Electrical Engineering, Computer Science, Medical Physics, Physics or related field in STEM. Students must be eligible to work in the U.S. Strong background in image reconstruction, signal and image processing, machine learning, and computer vision. Good understanding of X-ray physics and system. Familiar with spectral CT/Photon-counting CT related system design, calibration and image formation chain is a plus. Hands on experience in AI/Deep Learning is strongly preferred. Familiar with at least one neural network training framework such as PyTorch or TensorFlow. Knowledge of CT clinical applications and anatomy is a plus. Strong analytical and programming skills in languages such as C/C++/Python/MATLAB, etc. Working Place: Vernon Hills, Illinois, United States Company : ESR Healthcare