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Machine Learning Software Engineer Intern Jobs in Atlanta, GA

innovitusa

Machine Learning Engineer

Atlanta, GA · On-site

W2 Candidates Only We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with Python ...

Asure Software

Associate Software Engineer

Atlanta, GA · On-site

Explore opportunities to incorporate AI and machine learning capabilities into software solutions under the guidance of senior engineers and architects. * Continuously develop technical knowledge and ...

Speria

Machine Learning Operations Engineer

Atlanta, GA · On-site

$150 - $200/hr

We aim to create software that delivers real-time data to the entire supply chain that allows ... The MLOps Engineer works closely with Machine Learning Engineers and Data Engineers to ensure that ...

Coca-Cola

Senior Machine Learning Engineer (MLOPS)

Atlanta, GA · On-site

$100K - $138K/yr

A solid understanding of the machine learning lifecycle, containerized microservices architectures, and fundamental software engineering principles. Functional Skills: Practical experience with as ...

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All JobsMachine Learning Software Engineer Intern JobsMachine Learning Software Engineer Intern Jobs in Atlanta, GA

Machine Learning Software Engineer Intern information

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How much do machine learning software engineer intern jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for machine learning software engineer intern in Atlanta, GA is $24.44, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $27.74 per hour, depending on experience, location, and employer.

What does a machine learning software engineer intern do?

A Machine Learning Software Engineer Intern assists in the development, testing, and deployment of machine learning models and algorithms. Their responsibilities typically include data preprocessing, model training, evaluation, and collaborating with senior engineers to integrate machine learning solutions into software products. Interns may also contribute to research, documentation, and code optimization, gaining hands-on experience with real-world machine learning projects. This role provides a valuable opportunity to apply academic knowledge in a professional setting and learn from experienced engineers.

What are the key skills and qualifications needed to thrive as a machine learning software engineer intern?

To thrive as a Machine Learning Software Engineer Intern, you need a solid understanding of programming (especially Python), machine learning algorithms, and data structures, ideally supported by coursework or relevant projects. Familiarity with frameworks such as TensorFlow or PyTorch, experience using version control systems like Git, and knowledge of cloud platforms are highly valuable. Critical thinking, eagerness to learn, and effective communication help interns collaborate with teams and adapt to new challenges. These skills and qualities are crucial for developing robust ML solutions, integrating with production systems, and contributing meaningfully to real-world projects.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Atlanta, GA?

The most popular types of Machine Learning Software Engineer jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Machine Learning Software Engineer Intern jobs?

Cities near Atlanta, GA with the most Machine Learning Software Engineer Intern job openings:

Machine Learning Software Engineer Intern jobs near you

Machine Learning Engineer

Atlanta, GA • On-site

Infinite Resource Solutions
IT Services • 11 - 50 employees
Learn more about Infinite Resource Solutionsexternal

Full-time

Re-posted 8 hours ago

Job description

Job Description Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies.

Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team What Are We Looking For in This Role. Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field.

5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience with one or more of the following technologies: --Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. --ML Technologies: NLP, Computer Vision and related technologies.

--Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker - Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Minimum Qualifications Bachelor's Degree Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field Typically Minimum 6 Years Relevant Exp Four-year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development

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