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Computer Science Artificial Intelligence Jobs in Chicago, IL

Emphasizes theoretical foundations alongside practical implementation and connects computer science to artificial intelligence, distributed systems, and industry engineering practices. * Curriculum ...

D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Applied Mathematics, Statistics, or a related technical discipline. * 8+ years of experience in AI/ML research ...

Computer Vision Engineer

Chicago, IL · On-site

$115K - $135K/yr

Job Summary : 1872 Consulting is a company with a world-class artificial intelligence team focused ... Required : • Bachelors, Masters or PhD in Computer Science or related quantitative field • ...

Showing results 41-60

Computer Science Artificial Intelligence information

See Chicago, IL salary details

$52.1K

$114.8K

$141.8K

How much do computer science artificial intelligence jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer science artificial intelligence in Chicago, IL is $114,790.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $141,200.00 per year, depending on experience, location, and employer.

What is a computer science artificial intelligence?

A Computer Science Artificial Intelligence (AI) job involves developing, implementing, and improving AI technologies using machine learning, deep learning, and data analysis techniques. Professionals in this field work on algorithms, automation, and intelligent systems that can solve complex problems across industries like healthcare, finance, and robotics. Roles may include AI engineer, data scientist, or machine learning specialist, requiring strong programming skills in languages like Python and knowledge of AI frameworks.

What does a typical day look like for someone working in computer science artificial intelligence?

A typical day in a Computer Science Artificial Intelligence role often involves researching and developing new models, collaborating with data scientists and software engineers, and testing or optimizing machine learning algorithms. You may spend a significant amount of time analyzing datasets, building prototypes, and reviewing code, as well as meeting with multidisciplinary teams to align on project goals. The role is dynamic, with a mixture of individual problem-solving and group brainstorming to tackle complex challenges. This variety ensures continual learning and hands-on interaction with the latest technological advancements in artificial intelligence.

What are the key skills and qualifications needed to thrive in computer science artificial intelligence, and why are they important?

To thrive in a Computer Science Artificial Intelligence role, you need strong programming skills (Python, Java, or C++), a solid understanding of machine learning algorithms, and typically at least a bachelor's degree in computer science or related fields. Hands-on experience with frameworks and tools like TensorFlow, PyTorch, Scikit-learn, and familiarity with cloud platforms is highly desirable, and certifications such as AWS Certified Machine Learning can be advantageous. Analytical thinking, problem-solving, teamwork, and effective communication are important soft skills for success in both independent and collaborative settings. These skills and qualifications enable professionals to design, implement, and deploy AI solutions that address real-world business challenges.

Can I get an artificial intelligence job with a computer science degree?

A computer science degree provides a strong foundation for artificial intelligence (AI) roles, which often require knowledge of programming languages like Python, machine learning algorithms, and data analysis. Many AI jobs also value practical experience, internships, and familiarity with tools such as TensorFlow or PyTorch.

What computer science artificial intelligence jobs are in high demand?

High-demand artificial intelligence jobs in computer science include AI engineer, machine learning engineer, data scientist, and research scientist. These roles often require skills in programming languages like Python, knowledge of deep learning frameworks, and experience with large datasets, with industries such as tech, healthcare, finance, and autonomous vehicles actively hiring for these positions.

What are the most commonly searched types of Computer Science Artificial Intelligence jobs in Chicago, IL?

The most popular types of Computer Science Artificial Intelligence jobs in Chicago, IL are:

What are popular job titles related to Computer Science Artificial Intelligence jobs in Chicago, IL?

For Computer Science Artificial Intelligence jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Computer Science Artificial Intelligence jobs in Chicago, IL look for?

The top searched job categories for Computer Science Artificial Intelligence jobs in Chicago, IL are:

Infographic showing various Computer Science Artificial Intelligence job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $114,790 per year, or $55.2 per hour.

$125K/yr

Full-time

Posted 13 days ago


Internal Revenue Service rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

130th of 295 rated public sector bodies


Job description

WHAT IS THE CRIMINIAL INVESTIGATIONS DIVISION?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions

  • Position(s) are to be filled
    • CI
      • Advanced Analytics & Innovation
      • Cyber & Forensic Services (DC area only)
  • Consider each location carefully when applying. If you are selected for a location, that location will become your official post of duty.
REVIEW THE ADDITIONAL INFORMATION BELOW FOR FURTHER DETAILSQualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIREMENTS: To qualify for this position, you must meet the qualification requirements outlined below:
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
Evaluation of Education:
Applicants should have sufficient knowledge to understand the fundamental concepts and techniques of computer science. Courses designed to provide an introduction to computer science techniques and methodologies, to problems of system design, and to other specialized fields are acceptable. Courses or experience in teaching elementary, business, or shop mathematics are not acceptable.
BASIC REQUIREMENTS All GRADES: A bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
SPECIALIZED EXPERIENCE GS-14: In addition to meeting basic requirements, to be eligible for this position at this grade level, you must have one (1) year of specialized experience at a level of difficulty and responsibility equivalent to the GS-13 grade level in the Federal service.
Specialized experience for this position includes:

  • Demonstrated professional competence in applying the theoretical foundations of computer science, including the design, development and application of computer systems and architectures, artificial intelligence, natural language processing, deep learning, data ingestion, normalization, and ontologies.
  • Applying software exploitation techniques, cryptanalysis, or blockchain technology.
  • Interpreting and applying relevant mathematical and statistical sciences.
  • Working complex assignments in research, acquisition, design, development and maintenance of information systems for identifying and tracing movements in cryptocurrency, deanonymization of online actors, identifying suspicious activity, or analyzing and organizing large volumes of unstructured data.
  • Leading projects to design, acquire, and implement major prototype and developmental systems.
  • Making extensive modifications and upgrades to existing systems, taking into account changing requirements and interfaces, advances in technology, and evolving standards.

AND
You must also meet the following requirements:

  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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