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Medical Machine Learning Jobs in Georgia (NOW HIRING)

TERRACON

CMT Laboratory Intern

Macon, GA

Based on eligibility, role and job status, we offer many programs including medical, dental, vision ... Terracon's internship program gives students the opportunity to turn classroom learning into ...

Patientco

Data Scientist

Atlanta, GA

Complete familiarity with various statistical and machine learning techniquesincluding ... An aptitudefor medical informatics is preferred WHAT YOU'LL NEED Additional * Worksclosely ...

Crew Career Center

Data Scientist

Atlanta, GA

Complete familiarity with various statistical and machine learning techniquesincluding ... An aptitudefor medical informatics is preferred WHAT YOU'LL NEED Additional * Worksclosely ...

Core and Main LP

Machine Operator

Willacoochee, GA · On-site

$13.75 - $16.25/hr

You are energized when learning about new products and machinery. ARE power tools and machine ... Medical with 100% preventative care coverage * Health Savings Account * Dental and Vision * 401K

Coreandmain

Machine Operator

Willacoochee, GA

$13.75 - $16.25/hr

You are energized when learning about new products and machinery. ARE power tools and machine ... Medical with 100% preventative care coverage * Health Savings Account * Dental and Vision * 401K

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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 Jul 12, 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 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 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 is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often found in tech companies or healthcare organizations. These roles usually require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and sometimes specialized certifications. Compensation at this level reflects leadership responsibilities, expertise, and the impact of AI solutions in the organization.

Is ML a high paying job?

Medical machine learning professionals typically earn high salaries due to the specialized skills required, such as expertise in data analysis, programming, and healthcare knowledge. Salaries can vary based on experience, education, location, and industry demand, but overall, it is considered a well-compensated field within tech and healthcare sectors.

Will MLE be replaced by AI?

Medical Machine Learning Engineers (MLEs) develop and implement algorithms to analyze medical data, and AI advancements are augmenting their work rather than replacing it. While AI tools automate certain tasks, MLEs are essential for designing, validating, and maintaining complex models within healthcare environments, often requiring domain expertise and programming skills. The role is expected to evolve with AI, emphasizing collaboration between human expertise and automated systems.

What does machine learning do in healthcare?

In healthcare, machine learning is used by professionals to analyze large datasets, improve diagnostic accuracy, and develop predictive models for patient outcomes. Medical machine learning specialists often work with algorithms, programming tools, and clinical data to enhance treatment plans and healthcare efficiency.

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.

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:
What are popular job titles related to Medical Machine Learning jobs in Georgia? For Medical Machine Learning jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Medical Machine Learning jobs in Georgia look for? The top searched job categories for Medical Machine Learning jobs in Georgia are:
Medical Machine Learning jobs near you
AI Machine Learning Engineer II (Full Time) United States (Atlanta)

AI Machine Learning Engineer II (Full Time) United States (Atlanta)

Cisco

Atlanta, GA • On-site

$93K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Cisco Systems rating

8.0

Company rating: 8.0 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

46th of 142 rated electronics manufacturers

Job description

AI Machine Learning Engineer II (Full Time) – United States

Note: This posting advertises potential opportunities. While the role may not be open today, it could open in the near future. Applications are accepted until further notice.

Meet The Team

You will join a dynamic engineering team building AI/ML solutions, collaborating with platform, security, release engineering, and support teams to deliver the product and ensure its smooth operation.

Your Impact

In this role, you will develop and implement applications based on generative large language models (e.g., GPT‑4, Claude, Llama, and their derivatives) to meet business requirements. Key responsibilities include:

  • Develop, customize, and fine‑tune generative AI models.
  • Optimize performance, scalability, and reliability.
  • Engage in red‑teaming to validate robustness and precision.
  • Design and develop APIs to facilitate interactions with AI models.
  • Address and resolve issues arising from AI applications.
  • Collaborate with cross‑functional teams to capture, preprocess, and load data for model training.
  • Participate in model architecture discussions.
  • Conduct model training using predefined optimization techniques, including hyperparameter tuning.
  • Evaluate model performance using standard metrics and contribute to end‑to‑end automation and deployment efforts.
  • Write high‑quality, production‑ready code for platform‑based deployment.
Minimum Qualifications
  • Completion of a Bachelors degree (or equivalent) within the past 3 years, or current enrollment with expected completion within 12 months, and 2 years of relevant experience; or Master’s degree program with 0 years of relevant experience.
  • Deep understanding of machine learning algorithms, including supervised, unsupervised, and semi‑supervised learning.
Preferred Qualifications
  • Proficient in deploying and scaling ML models using cloud services such as AWS, Google Cloud Platform, and Azure.
  • Experienced with CI/CD pipelines, containerization (Docker), orchestration (Kubernetes), and ML model monitoring tools.
  • Knowledgeable in big data technologies including Hadoop, Spark, and Kafka.
  • Skilled in Go/Java for backend development and integration with data science applications.
  • Demonstrated background in machine learning, generative AI, and time series analytics through coursework, research, publications, or industry experience.
Why Cisco?

At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era and beyond. We’ve been innovating for 40 years, building solutions that empower humans and technology to work together across physical and digital worlds. Our technology, worldwide network, and collaborative culture offer limitless growth opportunities and the chance to make a global impact.

Compensation & Benefits

U.S. employees are offered benefits subject to Cisco’s plan eligibility rules, including medical, dental, vision insurance, a 401(k) plan with matching contribution, paid parental leave, short and long‑term disability coverage, and basic life insurance. Employees may be eligible for grants of restricted stock units and paid time away as described below.

  • 10 paid holidays per full calendar year, plus 1 floating holiday.
  • 1 paid day off for birthday, year‑end holiday shutdown, and 4 paid days off for personal wellness.
  • Non‑exempt employees receive 16 days of paid vacation time per full calendar year.
  • Exempt employees participate in a flexible vacation program with no defined limit.
  • 80 hours of sick time off provided on hire date and each January 1st thereafter, up to 80 hours carried forward.
  • Optional 10 paid days per year to volunteer.

Salary ranges by location are listed below.

  • New York City Metro Area: $123,600 – $200,100.
  • Non‑Metro New York State & Washington State: $109,900 – $181,600.
Equal Employment Opportunity

Cisco is an Equal Opportunity Employer and encourages applications from diverse candidates. The role is EEO‑51 compliant.

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About Cisco Systems

Sourced by ZipRecruiter

Cisco Systems, a global tech titan based in San Jose, CA, US, operates in the information technology and services industry. Founded in 1984, the company was derived from a project between two computer scientists from Stanford University. They aimed to connect different networks of computer systems at the university, resulting in the first multi-protocol router, and subsequently, the birth of Cisco. As an industry-leading manufacturer of networking hardware and telecommunications equipment, Cisco's product and services range includes routers, switches, firewall devices, and telecommunication technology. The company's mission, "to shape the future of the Internet by creating unprecedented value and opportunity for our customers, employees, investors, and ecosystem partners," is a testament to its pursuit of technology-forward innovation and customer satisfaction.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1984

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