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Assistant Medical Imaging Machine Learning Jobs (NOW HIRING)

Medical Imaging Assistant

Phoenix, AZ · On-site

$17.75 - $22.75/hr

As the Med Imaging Assistant, you will play a vital part in supporting technologists by preparing exam rooms, calling back and changing patients before exams, and performing IVs. You will also assist ...

Medical Imaging Assistant

Phoenix, AZ · On-site

$17.75 - $22.75/hr

As the Med Imaging Assistant, you will play a vital part in supporting technologists by preparing exam rooms, calling back and changing patients before exams, and performing IVs. You will also assist ...

Medical Imaging Assistant

Gilbert, AZ · On-site

$16 - $20.50/hr

You will also assist with patient care coordination, including scheduling appointments, handling ... Medical Imaging professionals also enjoy access to: - State-of-the art technology - The latest in ...

Medical Imaging Assistant

Phoenix, AZ · On-site

$17.50 - $22.50/hr

Our Medical Imaging Assistants are a major component of our success to offer high caliber patient care. This position assists in daily operations of the Medical Imaging Department under direct ...

Medical Imaging Assistant

Phoenix, AZ · On-site

$17.50 - $22.50/hr

Our Medical Imaging Assistants are a major component of our success to offer high caliber patient care. This position assists in daily operations of the Medical Imaging Department under direct ...

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Assistant Medical Imaging Machine Learning information

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How much do assistant medical imaging machine learning jobs pay per hour?

As of May 29, 2026, the average hourly pay for assistant medical imaging machine learning in the United States is $19.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $21.88 per hour, depending on experience, location, and employer.
What cities are hiring for Assistant Medical Imaging Machine Learning jobs? Cities with the most Assistant Medical Imaging Machine Learning job openings:
What are the most commonly searched types of Medical Imaging Machine Learning jobs? The most popular types of Medical Imaging Machine Learning jobs are:
What states have the most Assistant Medical Imaging Machine Learning jobs? States with the most job openings for Assistant Medical Imaging Machine Learning jobs include:
Machine Learning Engineering Intern

Machine Learning Engineering Intern

Qeexo, Co.

San Clemente, CA • On-site

$25/hr

Full-time

Posted 14 days ago


Job description

Machine Learning Engineer Intern TDK SensEI San Clemente, CA
This position is for our San Clemente, CA office - only apply if you are based there or willing to relocate
At TDK SensEI, we are transforming how industrial customers utilize and interact with sensor data. We specialize in developing advanced AI solutions capable of running directly on edge devices. By processing data locally, TDK SensEI enhances real-time decision-making, privacy, security, and cost efficiency. Our offerings include automated machine learning tools, AI-powered condition-based monitoring systems, and various sensor devices optimized for low latency and power consumption. Collaborating with leading global companies, we empower teams to effortlessly devise and implement machine learning solutions for industrial applications, all without the need for coding.
We are looking for a machine learning intern who loves working with sensor data, loves developing novel algorithms, and has strong curiosity about developing new GenAI-based ML applications. You will be working with a highly capable team of machine learning engineers and software engineers and will have the opportunity to make a meaningful impact on important new product development.
As a Machine Learning Engineer Intern, your responsibilities will include:
1. Assist in Model Development: Collaborate with senior engineers to develop and train machine learning models tailored for edge devices.
2. Data Collection and Preprocessing: Gather and preprocess data from various sensors and sources to ensure high-quality inputs for AI models.
3. Prototype Development: Develop and test prototypes for new Gen AI-based use cases, ensuring they meet performance and reliability standards.
4. Performance Evaluation: Conduct experiments to evaluate the performance of AI models and edge solutions, identifying areas for improvement.
5. Collaboration: Work closely with cross-functional teams, including machine learning and software engineers, to integrate AI solutions into prototype systems.
Ideal Candidate
. Signal processing and machine learning (most likely in EE major)
. Computer vision (most likely in CS major)
. Language model (most likely in CS major)
• Deep knowledge of statistical and machine learning approaches and problem domains
• Machine Learning/Computer Science/Electrical Engineering background with strong coding ability and proficiency with Python or other OOP language
• Proven success with multiple ML/AI/classification projects (research papers, open-source implementations, etc.)
• Expertise in one or more specific areas of research: automated machine learning, anomaly detection, condition monitoring, predictive maintenance, neural nets, deep learning, signal processing, digital imaging, ensemble learning, and system identification
• Experience working with GenAI applications
• Comfortable working in a terminal environment, writing scripts (Bash/Python) to process data and implement algorithms
Skills & Requirements:
• Master's or PhD student
• Python or other modern OOP language (proficient)
• Data Structures and Algorithms (proficient)
• Deep Learning (proficient)
• Data Structures and Algorithms (familiar)
• Experience with Docker and AWS (familiar)
• US Work Authorization required

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About Qeexo

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012