1

Computer Vision Jobs in Kansas (NOW HIRING)

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 ...

3D CAD Automation Engineer

Shawnee, KS · On-site

$80K - $100K/yr

Develop, implement, and maintain 3D CAD automation solutions using Autodesk Inventor * Design and ... Benefits include health care (medical, dental, vision) with coverage starting on first day of ...

Strong background in deep learning, computer vision, or remote sensing * Skilled in designing end-to-end ML systems - from data ingestion and preprocessing to deployment and monitoring * Hands-on ...

Showing results 41-60

Computer Vision information

See Kansas salary details

$29.9K

$43.1K

$56.6K

How much do computer vision jobs pay per year?

As of Aug 5, 2026, the average yearly pay for computer vision in Kansas is $43,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $49,500.00 per year, depending on experience, location, and employer.

What is a computer vision?

A Computer Vision job involves developing algorithms and systems that enable computers to interpret and process visual data from the world. Professionals in this field work on tasks such as object detection, image recognition, and video analysis using machine learning and deep learning techniques. They collaborate with data scientists, software engineers, and researchers to build applications in fields like healthcare, autonomous vehicles, and augmented reality. Strong programming skills in Python, knowledge of frameworks like OpenCV and TensorFlow, and experience with image processing techniques are essential for success in this role.

What does a computer vision professional do?

Computer Vision professionals commonly work on projects like designing algorithms for image classification, object detection, facial recognition, or scene understanding, often leveraging deep learning models. Daily responsibilities may include data preprocessing, developing and testing models, deploying solutions on cloud or edge devices, and evaluating performance against benchmarks. Collaboration is frequent with data scientists, software engineers, and product managers to integrate vision models into software applications or products. These projects can span various industries such as healthcare, automotive, retail, and security, providing both technical challenges and opportunities for impactful innovation.

What are the key skills and qualifications needed to thrive in computer vision?

To thrive in a Computer Vision role, you need strong programming skills (especially in Python and C++), a solid understanding of mathematics (linear algebra, probability, and statistics), machine learning fundamentals, and typically a relevant degree in Computer Science or a related field. Proficiency with deep learning frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with image processing tools, is highly valued, and certifications in AI or data science are beneficial. Analytical thinking, creative problem-solving, and effective teamwork and communication skills help you excel. These abilities are crucial for developing innovative real-world computer vision solutions and collaborating across multidisciplinary teams.

What are the most commonly searched types of Computer Vision jobs in Kansas? The most popular types of Computer Vision jobs in Kansas are:
What are popular job titles related to Computer Vision jobs in Kansas? For Computer Vision jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Computer Vision jobs in Kansas look for? The top searched job categories for Computer Vision jobs in Kansas are:
What cities in Kansas are hiring for Computer Vision jobs? Cities in Kansas with the most Computer Vision job openings:
Infographic showing various Computer Vision job openings in Kansas as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $43,074 per year, or $20.7 per hour.

Research Scientist Intern (2025)

Whiterabbit.ai

On-site

Internship

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


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