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Machine Learning Biomedical Internship Jobs in Atlanta, GA

Kaleris

AI Engineer Student Advisor

Alpharetta, GA · On-site

... or internships * Interest, coursework, or experience in Computer Science, Information Technology ... Familiarity with AI and Machine Learning concepts and techniques * Experience with or exposure to ...

Morehouse School of Medicine

Postdoctoral Fellow

Atlanta, GA · On-site

$47K - $63K/yr

... related biomedical sciences (completed within last 5 years or expected before start-date) • ... Perl); machine learning/AI applications. • Experience with CRISPR techniques; microbiome ...

Saige

Marketing Intern

Atlanta, GA

$15 - $19.75/hr

... machine learning to recommend meals, which we then cook out of our commercial kitchen and deliver to your door. Our meals evolve based on the tastes and needs of our customers. Marketing Internship ...

Saige

Marketing Intern

Atlanta, GA · On-site

$15 - $19.75/hr

... machine learning to recommend meals, which we then cook out of our commercial kitchen and deliver to your door. Our meals evolve based on the tastes and needs of our customers. Marketing Internship ...

Emory University

Pediatric Research Innovator

Atlanta, GA · On-site

$17.50 - $24/hr

... areas of biomedical science. In partnership with Children's Healthcare of Atlanta, faculty ... Areas of interest include artificial intelligence and machine learning, imaging, data science, and ...

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All JobsMachine Learning Biomedical JobsMachine Learning Biomedical Internship JobsMachine Learning Biomedical Internship Jobs in Atlanta, GA

Machine Learning Biomedical Internship information

See Atlanta, GA salary details

$24.5K

$41K

$84.6K

How much do machine learning biomedical internship jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning biomedical internship in Atlanta, GA is $40,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,300.00 and $44,200.00 per year, depending on experience, location, and employer.

What is a machine learning biomedical internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

What are the key skills and qualifications needed to thrive as a machine learning biomedical intern, and why are they important?

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What types of projects do interns typically work on during a machine learning biomedical internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.
What are popular job titles related to Machine Learning Biomedical Internship jobs in Atlanta, GA? For Machine Learning Biomedical Internship jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Biomedical Internship jobs in Atlanta, GA look for? The top searched job categories for Machine Learning Biomedical Internship jobs in Atlanta, GA are:
Machine Learning Biomedical Internship jobs near you
Infographic showing various Machine Learning Biomedical Internship job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $40,951 per year, or $19.7 per hour.

AI Engineer Student Advisor

Kaleris

Alpharetta, GA • On-site

Full-time

Re-posted 28 days ago

Job description

Job Description:
About Kaleris
Kaleris is a private equity-backed software company focused on supply chain execution, headquartered in Atlanta, Georgia. We provide solutions that help industrial and finished goods shippers and carriers operate more efficiently across yard management, shipment visibility, and asset management in rail, truck, and multi-modal transportation.
Our customers include some of the world's largest port operators and logistics networks.
About the Role
We're looking for a sharp, curious student assistant, apprentice, or intern to join our Agile IT team, working closely with Enterprise Applications, IT FinOps, BI, and AI team members.
In this role, you will:
  • Assist in developing and deploying AI-driven solutions to automate and optimize internal business processes such as IT operations, finance, and reporting
  • Build and maintain analytic dashboards and data pipelines that empower IT and business stakeholders
  • Collaborate with IT leaders to enhance system integrations, data quality, and reporting capabilities through AI
  • Support the design, development, and testing of internal tools using AI and automation frameworks
  • Document workflows and assist in creating training materials for new solutions adopted by internal teams
  • Stay up to date on emerging AI technologies and share insights with colleagues
  • Participate in team meetings and contribute ideas to improve operational efficiency, business intelligence, and system performance
  • Help troubleshoot and resolve issues in AI-supported applications, ensuring high reliability and user satisfaction

Requirements
  • Currently pursuing a degree with exposure to programming, data, or AI through coursework, projects, or internships
  • Interest, coursework, or experience in Computer Science, Information Technology, Data Science, or a related field
  • Solid programming skills in Python preferred, or Java or C++
  • Familiarity with AI and Machine Learning concepts and techniques
  • Experience with or exposure to libraries and frameworks such as LangChain, Semantic Kernel, Azure Machine Learning SDK, or OpenAI Python SDK
  • Familiarity with Microsoft Azure services including Azure AI Studio, Azure Functions, Logic Apps, or Blob Storage
  • Understanding of data structures, APIs, and working with structured data using SQL (Oracle, SQL Server, MySQL, or similar)
  • Strong analytical and troubleshooting skills
  • Proactive mindset with the ability to collaborate across cross-functional IT teams
  • Strong written and verbal communication skills, including the ability to document and present progress
  • Ability to work effectively in a fast-paced, test-driven, and agile SDLC environment

The duties and responsibilities described are not a comprehensive list and additional tasks may be assigned from time to time or the scope of the position may change necessary to business demands.
We are an equal-opportunity employer and value diversity at Kaleris. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Kaleris is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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