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Salaried Deep Learning Jobs in Ohio (NOW HIRING)

$75 - $95/hr

Attraktives Gehalt + Bonuszahlungen * Flexible Arbeitszeiten * Persönliche Weiterentwicklung ... Learning/Deep Learning. * Sicherer Umgang mit Python und gängigen ML-Bibliotheken (z. B.

$85.65 - $125.63/hr

You are familiar with the current state of the art in deep learning. As part of our team of AI ... Fair, competitive salary and profit sharing * 30 days of vacation and the option for part-time work

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Salaried Deep Learning information

What is the difference between Salaried Deep Learning vs Salaried Machine Learning Engineer?

AspectSalaried Deep LearningSalaried Machine Learning Engineer
Required CredentialsMaster's or PhD in Computer Science, AI, or related fields; experience with neural networksMaster's in CS, Data Science, or related; strong programming and statistical skills
Work EnvironmentResearch labs, AI startups, tech companies focusing on neural network modelsTech companies, data-driven firms, AI product development teams
Employer & Industry UsagePrimarily in AI research, academia, and companies developing deep learning modelsAcross industries like finance, healthcare, and e-commerce implementing ML solutions

While both roles involve machine learning, Salaried Deep Learning specialists focus on neural network architectures and AI research, whereas Salaried Machine Learning Engineers work on broader ML applications and deployment across various industries.

What are the most commonly searched types of Deep Learning jobs in Ohio?

The most popular types of Deep Learning jobs in Ohio are:

What cities in Ohio are hiring for Salaried Deep Learning jobs?

Cities in Ohio with the most Salaried Deep Learning job openings:

Postdoctoral researchers in AI in medical imaging

Case Western Reserve University

Cleveland, OH • On-site

$63K - $72K/yr

Other

Posted 23 days ago


Case Western Reserve University rating

8.9

Company rating: 8.9 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

33rd of 621 rated colleges and universities


Job description

Help us create the equivalent of the mammogram for cardiovascular disease! We are seeking multiple postdoctoral researchers to use image processing and state-of-the-art machine/deep learning to develop a comprehensive high-throughput CT screening exam for detecting and predicting cardiovascular diseases. Diseases include coronary artery disease, heart failure, aortic valve disease, aortic aneurysms, and more. Cardiovascular diseases are the number one cause of death in the US and the world. You would join Professor David Wilson, the Robert Herbold Professor of Biomedical Engineering and Radiology, with a team consisting of dedicated biomedical engineers, computer scientists, and research-oriented clinicians. We are building on the unique, no-cost CT calcium score imaging program at University Hospitals of Cleveland, which includes >250,000 patients imaged. Big data enables machine/deep learning experiments that would be impossible in many medical imaging applications. We need extremely robust segmentation, image translation between domains, foundation modeling, multimodal risk prediction, deep learning organ age prediction, advanced time-to-event modeling, causal data science, and more. Successful applicants will have an interest in biomedical imaging, quantitative image analysis, and machine/deep learning. Experience in 3D medical imaging is a plus but not absolutely required. To apply, please post a CV. The base salary range for this position will be $63,000 - $72,000, depending on qualifications. Be prepared for a reference request. 


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