1

Machine Learning Software Engineer Intern Jobs in Edwardsville, IL

MLE II

Saint Louis, MO · On-site

$50 - $55/hr

Collaborate with machine learning researchers, data scientists, and software engineers to productionize emerging AI capabilities. * Support model monitoring, platform reliability, and continuous ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

AI Engineer

Saint Louis, MO · On-site

$50K - $112K/yr

... engineering to build and deploy ... software and platform systems that create Artificial Intelligence and Machine Learning-based ...

Staff Software Engineer

Saint Louis, MO · On-site

$110K - $165K/yr

At least 3 years of hands-on experience in machine learning, data science, search relevance, or ranking systems. Preferred Qualifications: * 10+ years of software engineering experience, with deep ...

Software Engineer

Saint Louis, MO · On-site +1

$75K - $95K/yr

Software Engineer Reports To: Manager, Software Engineering BAI and RMA have come together as ... Our industry-leading offerings include peer sharing events, thought leadership, learning and ...

Showing results 21-40

Machine Learning Software Engineer Intern information

See Edwardsville, IL salary details

$12

$23

$36

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

As of Aug 15, 2026, the average hourly pay for machine learning software engineer intern in Edwardsville, IL is $23.85, according to ZipRecruiter salary data. Most workers in this role earn between $19.38 and $27.07 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 cities near Edwardsville, IL are hiring for Machine Learning Software Engineer Intern jobs?

Cities near Edwardsville, IL with the most Machine Learning Software Engineer Intern job openings:

DevOps Engineer Intern

Delta Dental Of Missouri

Saint Louis, MO • On-site

Full-time

Re-posted 22 days ago


Job description

Kickstart your career as a DevOps Engineer Intern with Delta Dental of Missouri, where you'll gain hands-on experience in Azure cloud environments and modern DevOps practices. In this role, you'll collaborate with experienced engineers to build and improve CI/CD pipelines, support automated testing, and help ensure the reliability and performance of critical applications. You'll also explore cutting-edge AI-powered DevOps tools to enhance automation and drive innovation. This is a great opportunity for a tech-savvy student or recent graduate eager to develop real-world skills in a collaborative, agile environment. If you're curious, detail-oriented, and excited about continuous improvement, we'd love to hear from you.
Position Summary
As a DevOps Engineer Intern at Delta Dental of Missouri (DDMO), you will have the opportunity to work closely with our experienced engineering team to gain hands-on experience in the fields of DevOps and Azure cloud environments. You will play a crucial role in ensuring the quality, reliability, and performance of our software products while also contributing to the continuous improvement of our development and deployment processes.
Essential Functions and Job Responsibilities
• Collaborate with full stack engineers to design, implement, and maintain automated testing frameworks for both frontend and backend systems.
• Participate in the development and execution of test plans and test cases to verify the functionality, usability, and performance of our software applications.
• Assist in the setup and maintenance of continuous integration/continuous deployment (CI/CD) pipelines to automate the build, test, and deployment processes for application and infrastructure.
• Evaluate and integrate AI-powered DevOps tools to enhance pipeline intelligence, including automated anomaly detection, predictive incident response, and AI-assisted code review or test generation within Azure DevOps workflows.
• Contribute to the monitoring, troubleshooting, and optimization of our production systems to ensure high availability and reliability.
• Work with cross-functional teams to identify areas for process improvement and implement best practices for software development, testing, and deployment.
• Adhere to and support Architecture Review Board (ARB) and Change Advisory Board (CAB) processes, ensuring proposed changes meet established standards prior to implementation.
• Stay up to date with emerging technologies, tools, and trends in DevOps and Quality Assurance to drive innovation and efficiency within the organization.
• Develop and maintain design and troubleshooting documentation.
• Run agile scrum meetings when needed.
Qualifications
• Currently pursuing a degree or a recent graduate in Computer Science, Engineering, or a related field.
• Familiarity with software development methodologies such as Agile or Scrum, DevOps methodologies.
• Basic understanding of programming/scripting languages such as Python, C#, Java, or JavaScript.
• Knowledge of version control systems (e.g., Git) and issue tracking systems (e.g., Jira).
• Familiarity with AI/ML operationalization (MLOps) concepts and AI model deployments.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and teamwork abilities.
• Prior experience with DevOps tools (e.g., Jenkins, Docker, Kubernetes) and QA automation frameworks (e.g., Selenium) is a plus.
• Demonstrated commitment to the company's core values of integrity, adaptability, service-focused, accountability, curiosity, and community.
Work Conditions
General office working conditions which may require sitting for extended periods of time.
Physical Requirements
The physical requirements described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Specific vision abilities require the ability to focus distant and near objects clearly. While performing the duties of this job, the employee is regularly required to sit, talk, and hear. The employee is frequently required to use hands and arms to handle, feel and reach as well as operate a personal computer.
Disclaimer
This job description is designed to provide a general overview of the requirements of the job and does not entail a comprehensive listing of all activities, duties or responsibilities that will be required. The organization reserves the right to modify this job description at any time; including assigning or reassigning job duties.
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.