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Temporary Computer Vision Deep Learning Engineer Jobs in Chicago, IL

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

Design and implement novel machine learning and deep learning models tailored to internal research ... S. in Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, or a closely ...

Aquabyte

Perception Engineer

Mundelein, IL · On-site

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... Apply a combination of conventional and deep learning approaches to identify key features and ...

Paylocity

Machine Learning Engineer

Schaumburg, IL · On-site

We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that ... The employee must be able to operate a computer, use phone systems, and type. This includes using ...

AppFolio

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 ...

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All JobsTemporary Computer Vision Deep Learning Engineer JobsTemporary Computer Vision Deep Learning Engineer Jobs in Chicago, IL

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 Jun 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.

Can I learn ML in 3 months?

A Temporary Computer Vision Deep Learning Engineer typically requires a strong understanding of machine learning concepts, programming skills in Python, and experience with frameworks like TensorFlow or PyTorch. While it is possible to learn foundational skills in three months with intensive study, gaining proficiency for a professional role usually takes longer and involves practical experience and project work.

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.

Is ML a high paying job?

Machine learning (ML) roles, including positions like a computer vision deep learning engineer, are generally well-paid due to high demand for specialized skills in AI, data analysis, and programming. Salaries vary based on experience, location, and industry, but these roles tend to offer above-average compensation compared to many other tech jobs.

Is computer vision a dead field?

Computer vision remains a vibrant and evolving field with ongoing research and practical applications, especially in areas like autonomous vehicles, medical imaging, and security. For a Temporary Computer Vision Deep Learning Engineer, skills in deep learning frameworks such as TensorFlow or PyTorch and knowledge of image processing are essential, and demand continues to grow as technology advances.

What engineers make $500,000?

Senior engineers in specialized fields such as software, data science, or machine learning can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Roles like senior software engineers, machine learning engineers, and data scientists working in tech companies or finance often reach this compensation level through base salary, bonuses, and stock options.
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:
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Temporary Computer Vision Deep Learning Engineer jobs near you
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Hammond, IN

Other

Posted 29 days ago

Job description

We are looking for a Research Scientist Intern to push the state of the art of our AI models. As a Research Scientist Intern at Whiterabbit.ai, you will:

  • Play a key role in architecting the algorithms and models that will power our products
  • Train on a dedicated high-performance compute cluster specialized for deep learning research
  • Work with doctors and healthcare professionals to identify serious problems and leverage their domain expertise to build robust solutions
  • Remain an active contributor to the research community by partnering with universities and publishing high impact papers

Who we are:

Our mission at Whiterabbit.ai is to save lives and eliminate suffering through the early detection of cancer with artificial intelligence. We collaborate closely with one of the top medical schools in the country and have exclusive access to one of the world’s largest cancer datasets with millions of images. We invent algorithms that make doctors more productive, more accurate, and more capable. We build products and services with a relentless focus on transforming the patient’s healthcare experience.

Responsibilities

  • Develop highly scalable classifiers and detectors that solve real-world problems
  • Learn and understand a large body of research in deep learning and machine learning
  • Participate in cutting-edge research for medical applications of computer vision

Must Have Experience

  • Experience with deep learning and convolutional networks
  • Strong theoretical and empirical research background
  • Fluency with a deep learning framework and Python

Nice to Have Experience

  • Contributions to research communities and efforts, such as publications at conferences like CVPR, NeurIPS, ICCV, ECCV, ICML, and ICLR
  • Large scale machine learning experience working with terabytes of data
  • Implemented custom operations/modules in a deep learning framework
  • Imagination, ambition, and curiosity

Apply