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Quantitative Researcher Machine Learning Jobs in Rock Island, IL

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Quantitative Researcher Machine Learning information

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$49.8K

$113K

$186.4K

How much do quantitative researcher machine learning jobs pay per year?

As of Aug 25, 2026, the average yearly pay for quantitative researcher machine learning in Rock Island, IL is $113,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $144,700.00 per year, depending on experience, location, and employer.

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Quantitative Researcher Machine Learning jobs near you
Infographic showing various Quantitative Researcher Machine Learning job openings in Rock Island, IL as of June 2026, with employment types broken down into 2% As Needed, 94% Full Time, 2% Part Time, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $113,046 per year, or $54.3 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

Davenport, IA • On-site

Other

Re-posted 5 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