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Entry Level Medical Imaging Machine Learning Jobs

Machine Learning Engineer

Addison, TX · On-site +1

$110K - $130K/yr

Comprehensive benefits package including medical, dental, vision, and life insurance * Performance ... machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark ...

Senior Machine Learning Engineer

$107K - $146K/yr

... medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and ...

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... This is not an entry-level position, and it is not a principal or architect-level role.. Location ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Prior experience with medical imaging standards and technologies is a strong plus Additional ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a ... We offer a full comprehensive benefits package including medical, dental and vision. Employees ...

Research, design and prototype novel models based on machine learning, data mining, and statistical ... Prior experience with medical imaging standards and technologies is a strong plus Additional ...

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Entry Level Medical Imaging Machine Learning information

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

As of Jun 28, 2026, the average hourly pay for entry level medical imaging machine learning in the United States is $17.46, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.99 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Medical Imaging Machine Learning vs Entry Level Medical Imaging Technologist?

AspectEntry Level Medical Imaging Machine LearningEntry Level Medical Imaging Technologist
Required CredentialsBasic understanding of machine learning, programming skills, relevant certifications in AI or data scienceCertification in radiologic technology, ARRT certification, associate degree in radiologic technology
Work EnvironmentResearch labs, healthcare tech companies, hospitals focusing on AI integrationHospitals, clinics, imaging centers performing diagnostic scans
Employer & Industry UsageTech companies, healthcare startups, research institutionsHospitals, diagnostic imaging centers, outpatient clinics

Entry Level Medical Imaging Machine Learning roles focus on developing and applying AI algorithms to improve imaging diagnostics, requiring programming and data analysis skills. In contrast, Entry Level Medical Imaging Technologists operate imaging equipment directly to produce diagnostic images, requiring radiologic technology certifications. Both roles are essential in healthcare but differ significantly in skills, environment, and responsibilities.

More about Entry Level Medical Imaging Machine Learning jobs
What cities are hiring for Entry Level Medical Imaging Machine Learning jobs? Cities with the most Entry Level 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:
Infographic showing various Entry Level Medical Imaging Machine Learning job openings in the United States as of June 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $36,327 per year, or $17.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

Confie

Addison, TX • On-site, Remote

$110K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Job description

Pay Range:
  • $110000 - $130000 / year

Our Perks & Benefits:_
  • Comprehensive benefits package including medical, dental, vision, and life insurance
  • Performance-based bonuses to reward your contributions*
  • Paid time off to recharge and maintain a healthy work-life balance
  • Flexible work options, including remote and hybrid opportunities, if eligible
  • Retirement Plan (401k) with company-matched contributions
  • Education Advancement, for employees and qualified dependents, via the Confie Enablement Scholarship Fund
  • Fitness Reimbursement - up to $15/month for gym memberships
  • Inclusive workplace through a strong commitment to Diversity, Equity, and Inclusion
  • Employee Assistance Program - confidential support for personal or professional challenges, at no cost
  • Extra Perks - optional plans for disability, hospital indemnity, health advocate program, universal life, critical illness, accident insurance, and even pet insurance

Purpose
Work under the guidance and supervision of the Director, Enterprise Architecture to build supervised and unsupervised Artificial Intelligence (AI)/Machine Learning (ML) models
Essential Duties & Responsibilities
Research, analyze, support, and implement machine learning solutions on the Snowflake Cloud data warehouse platform using the Snowpark framework
Develop novel solutions using knowledge of the latest artificial intelligence/machine learning/natural language processing techniques and rigorous statistical analysis
Utilize LLMs and Generative AI to provide software automation capability integrations
Build and operationalize Retrieval Augmented Generation (RAG) frameworks
Enhance, develop, and deploy production-level machine learning models and algorithms that will improve Confie's business outcome/customer experience
Perform data cleansing, analysis, and feature engineering using Python
Ability to work with multiple data sources and types (structured/semi-structured/unstructured)
Assess the effectiveness and accuracy of new data sources and execute data-wrangling techniques
Participate and support other teams, as needed, for all aspects of model development, including design, model implementation, validation, calibration, documentation, product implementation, monitoring, and reporting
Communicate technical results in a clear, concise, and effective manner with emphasis on data visualization techniques
Collaborate with Data Scientists, Data Engineers, and Data Architects on production systems and applications
Stay up-to-date with industry trends and advancements in artificial intelligence/machine learning
On call support
Qualifications and Education Requirements
Master's degree in a quantitative/applied field (Engineering, Computer Science, Data Science, Operations Research, Mathematics, Statistics, Econometrics)
Expertise in manipulating and analyzing large data (e.g. exploratory analysis, model fitting, and visualization)
Proficient SQL skills and experience working with large data sets (big data, IoT data)
Proficient with programming and modeling using Python
Knowledge of modeling in pre-training & fine tuning foundation LLM models
Knowledge of LangChain and sentence transformer frameworks
Knowledge of ChatGPT4 (or comparable models)
Experience applying current machine learning techniques
Knowledge of evolving data science concepts and best practices
Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Notice
As permitted by applicable law and from time-to-time, Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment, including recruitment, hiring, renewal of employment, or the terms and conditions of your employment. Employees with questions about Confie's use of these computer systems should contact Human Resources at employeerelations@confie.com
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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About Confie

Sourced by ZipRecruiter

Industry

Insurance services

Company size

1,001 - 5,000 Employees

Headquarters location

Huntington Beach, CA, US

Year founded

2008