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Medical Machine Learning Jobs in Georgia (NOW HIRING)

Advanced Analytics & Machine Learning * Oversee development and deployment of predictive and ... Medical, Dental & Vision plan options * Retirement programs, including 401(k) employer matching

... implementing machine learning and analytical systems applied to design information and user ... medical informatics Company : Waystar is a technology platform that provides healthcare revenue ...

Advanced Analytics & Machine Learning * Oversee development and deployment of predictive and ... Medical, Dental & Vision plan options * Retirement programs, including 401(k) employer matching

Gen AI Architect

Atlanta, GA · On-site

$125K - $135K/yr

The role of a machine learning professional involves applying machine learning techniques and ... Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) * Retirement ...

Machine Operator

Monroe, GA · On-site

$19.50/hr

... that include medical, dental and vision insurance as well as a variety of other well-being ... Learning Management System that supports and enhances employee skills at all levels of the ...

... that include medical, dental and vision insurance as well as a variety of other well-being ... Learning Management System that supports and enhances employee skills at all levels of the ...

Machine Operator

Monroe, GA · On-site

$19.50/hr

... that include medical, dental and vision insurance as well as a variety of other well-being ... Learning Management System that supports and enhances employee skills at all levels of the ...

... that include medical, dental and vision insurance as well as a variety of other well-being ... Learning Management System that supports and enhances employee skills at all levels of the ...

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Showing results 1-20

Medical Machine Learning information

See Georgia salary details

$30.8K

$139.1K

$284.6K

How much do medical machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for medical machine learning in Georgia is $139,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $226,700.00 per year, depending on experience, location, and employer.

What is a Medical Machine Learning job?

A Medical Machine Learning job involves developing and applying AI algorithms to analyze medical data, such as imaging, electronic health records, and genomics, to improve diagnosis, treatment, and patient outcomes. Professionals in this field work with clinicians, data scientists, and engineers to create predictive models, automate medical workflows, and ensure compliance with healthcare regulations. Strong knowledge of machine learning, data processing, and healthcare-specific challenges is essential.

What are the key skills and qualifications needed to thrive in the Medical Machine Learning position, and why are they important?

To thrive in Medical Machine Learning, you need a strong background in computer science, statistics, and biomedical sciences, often supported by an advanced degree in a related field. Familiarity with programming languages (such as Python or R), machine learning frameworks (like TensorFlow or PyTorch), and healthcare data management systems is crucial. Strong problem-solving abilities, collaboration skills, and the ability to communicate complex technical concepts to a diverse audience make a candidate stand out. These skills are critical for developing robust, effective machine learning solutions that can impact patient care and integrate seamlessly into clinical workflows.

What types of teams do Medical Machine Learning professionals typically collaborate with in a healthcare setting?

Medical Machine Learning professionals often work in multidisciplinary teams that include data scientists, clinicians, software engineers, and regulatory experts. Collaboration with healthcare providers is common to ensure models address real clinical needs and comply with healthcare standards. You'll typically interact closely with IT departments for data access and security, as well as with research teams and sometimes external partners. Working in such dynamic teams allows you to contribute technical expertise while gaining insights from domain experts, leading to more successful and impactful machine learning projects.

How much does CVS pay AI engineers?

Salaries for AI engineers at CVS Health typically range from $100,000 to $150,000 annually, depending on experience, location, and skill set. Compensation may also include benefits such as health insurance, bonuses, and stock options, with roles often requiring proficiency in machine learning frameworks and programming languages like Python or TensorFlow.
What are the most commonly searched types of Medical Machine Learning jobs in Georgia? The most popular types of Medical Machine Learning jobs in Georgia are:
Infographic showing various Medical Machine Learning job openings in Georgia as of May 2026, with employment types broken down into 3% Internship, 79% Full Time, 12% Part Time, 3% Contract, and 3% Nights. Highlights an 88% Physical, 8% Hybrid, and 4% Remote job distribution, with an average salary of $139,096 per year, or $66.9 per hour.
Research Scientist Intern (2025)

Research Scientist Intern (2025)

Whiterabbit.ai

Carrollton, GA

Other

Posted 7 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 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