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Ai Computer Science Jobs in Madison, WI (NOW HIRING)

Bachelor's degree in engineering, physics, computer science, math, information systems, statistics, or related field or Associates degree and 2+ years of related experience or High School/GED and 4+ ...

Bachelor's degree in engineering, physics, computer science, math, information systems, statistics, or related field or Associates degree and 2+ years of related experience or High School/GED and 4+ ...

Sr. AI Integration Analyst

Madison, WI · On-site

$78K - $156K/yr

Bachelor's degree in engineering, physics, computer science, math, information systems, statistics, or related field or Associates degree and 2+ years of related experience or High School/GED and 4+ ...

AI is rapidly changing what is possible in financial services and we're interested in more than ... Bachelor's degree in business or computer science or related field or an equivalent combination of ...

Bachelor's degree in Computer Science, Engineering, AI/ML, or a related field; or equivalent practical experience. * 3+ years building and operating production software, including significant work on ...

Bachelor's degree in Computer Science, Engineering, AI/ML, or a related field; or equivalent practical experience. * 3+ years building and operating production software, including significant work on ...

Showing results 41-60

Ai Computer Science information

See Madison, WI salary details

$50.9K

$112.2K

$138.5K

How much do ai computer science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for ai computer science in Madison, WI is $112,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $138,000.00 per year, depending on experience, location, and employer.

What is AI in computer science?

AI, or Artificial Intelligence, in computer science refers to the simulation of human intelligence by machines, especially computer systems. It involves creating algorithms and software that allow computers to perform tasks that typically require human intelligence, such as learning, reasoning, problem-solving, perception, and language understanding. AI encompasses various subfields, including machine learning, natural language processing, robotics, and computer vision. The goal of AI is to build systems that can function autonomously and improve over time through experience.

What are the typical challenges faced when working on AI projects within a computer science team?

One common challenge in AI computer science roles is managing the balance between research and practical implementation. Teams often face difficulties with limited or imperfect datasets, ensuring models generalize well beyond training data, and integrating AI solutions into existing systems. Collaboration with data engineers, domain experts, and product managers is crucial to ensure the developed AI solutions align with business objectives and user needs. Additionally, staying updated with rapidly evolving AI technologies and addressing ethical considerations are ongoing parts of the role.

What are the key skills and qualifications needed to thrive as an AI computer scientist, and why are they important?

To thrive as an AI Computer Scientist, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant degree or higher qualifications. Proficiency in programming languages such as Python, experience with AI frameworks like TensorFlow or PyTorch, and familiarity with data analysis tools are essential. Critical thinking, creativity, and strong collaboration skills help drive innovation and effective problem-solving in cross-functional teams. These competencies are vital for developing advanced AI solutions and ensuring their successful real-world application.

What is the difference between Ai Computer Science vs Data Scientist?

AspectAi Computer ScienceData Scientist
Required CredentialsBachelor's or higher in CS, AI, or related fields; certifications in AI/MLBachelor's or higher in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentResearch labs, tech companies, AI startupsBusiness environments, analytics teams, tech firms
Industry UsageDeveloping AI algorithms, machine learning models, AI systemsAnalyzing data, building predictive models, data visualization

Ai Computer Science focuses on developing AI algorithms and systems, often requiring advanced technical skills in machine learning and programming. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve machine learning, Ai Computer Science is more research and development-oriented, whereas Data Scientists focus on applying data analysis techniques to solve business problems.

What are the most commonly searched types of Ai Computer Science jobs in Madison, WI?

The most popular types of Ai Computer Science jobs in Madison, WI are:

Infographic showing various Ai Computer Science job openings in Madison, WI as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $112,192 per year, or $53.9 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Madison, WI

Full-time

Re-posted 17 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