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Edge Ai Machine Learning Jobs in Kansas (NOW HIRING)

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... in deep learning and machine learning * Participate in cutting-edge research for medical ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... in deep learning and machine learning * Participate in cutting-edge research for medical ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... in deep learning and machine learning * Participate in cutting-edge research for medical ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... in deep learning and machine learning * Participate in cutting-edge research for medical ...

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... in deep learning and machine learning * Participate in cutting-edge research for medical ...

$175K - $245K/yr

About the Role EnCharge AI is looking for an experienced AI Research Engineer to optimize deep learning models for deployment on edge AI platforms. You will work on model compression, quantization ...

... of AI, machine learning, and secure software engineering. We're seeking a Senior Full-Stack ... Be part of a cutting-edge team solving complex problems in AI and SaaS development. * Work on ...

AWS Technical Architect

Overland Park, KS ยท On-site

$64 - $84/hr

As AWS' deepest strategic partner in the ecosystem, AABG leveragescutting-edgeengineering, high-performance computing (HPC), artificial intelligence (AI), machine learning (ML), and advanced data ...

Showing results 41-60

Edge Ai Machine Learning information

What is an Edge AI Machine Learning?

An Edge AI Machine Learning job involves developing and deploying machine learning models directly on edge devices, such as IoT sensors, mobile devices, and embedded systems. This role requires expertise in optimizing AI models for low-power, low-latency environments while ensuring real-time processing. Professionals in this field work with frameworks like TensorFlow Lite, ONNX, and OpenVINO to implement AI solutions efficiently. They must also handle challenges like model compression, hardware acceleration, and data privacy.

What are the key skills and qualifications needed to thrive in the Edge AI Machine Learning position?

To thrive as an Edge AI Machine Learning professional, you need a strong background in machine learning algorithms, embedded systems, and proficiency with programming languages such as Python or C++. Familiarity with edge computing platforms (like NVIDIA Jetson, Google Coral), frameworks (TensorFlow Lite, ONNX), and certifications in AI or ML can greatly enhance your qualifications. Strong problem-solving abilities, collaboration, and effective communication skills are important for adapting solutions to diverse environments and working cross-functionally. These abilities enable the successful deployment of efficient and robust AI models directly on devices, meeting the unique challenges of real-time, resource-constrained settings.

What are some typical challenges faced in an Edge AI Machine Learning role, and how can I prepare for them?

One of the most common challenges in Edge AI Machine Learning is optimizing models to run efficiently on hardware with limited resources, while maintaining acceptable accuracy and speed. You may encounter constraints related to memory, processing power, and connectivity, which require creative engineering and a deep understanding of both machine learning and embedded systems. Collaborating closely with hardware engineers, data scientists, and software developers is typical, as solutions often span multiple technical disciplines. To prepare, staying current with advancements in model compression, quantization, and edge deployment technologies will help you tackle these challenges with confidence.

What are the most commonly searched types of Edge Ai Machine Learning jobs in Kansas?

The most popular types of Edge Ai Machine Learning jobs in Kansas are:

What are popular job titles related to Edge Ai Machine Learning jobs in Kansas?

For Edge Ai Machine Learning jobs in Kansas, the most frequently searched job titles are:

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What cities in Kansas are hiring for Edge Ai Machine Learning jobs?

Cities in Kansas with the most Edge Ai Machine Learning job openings:

Research Scientist Intern (2025)

Whiterabbit.ai

Kansas City, KS โ€ข On-site

Other

Re-posted 13 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 worldโ€™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 patientโ€™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