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Machine Learning Engineer Intern Jobs in Lexington, SC

Integer

Software Engineer

Columbia, SC · On-site

... machine-learning models. * Research and integrate emerging computational tools and workflows ... Implement and oversee DevOps methodologies to ensure software integrity, maintainability, and ...

Armis Security

AI Solutions Consultant

North, SC · On-site

We're looking for engineers fluent in modern AI application development - agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation - not machine learning engineers. You will be ...

Pwc

US Tech - AI Engineering Manager

Columbia, SC · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Pwc

CTIO - AI Engineer- Senior Manager

Columbia, SC · On-site

$91K - $321K/yr

... machine learning algorithms and predictive modeling techniques - Collaborating with clients to validate outcomes and incorporate feedback into data solutions - Directing teams through complex ...

Pwc

AI & GenAI Data Scientist - Manager

Columbia, SC · On-site

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

State of South Carolina

Post Doctoral Fellow

Columbia, SC · On-site

$45K - $61K/yr

Advertised Job SummaryTo provide research in the simulations and machine learning for the ... Programming skills in Python, Pytorch, C++, C or Fortran Preferred Qualifications Preferred ...

IBM

Consultant Intern - SAP 2027

Columbia, SC · On-site

$14 - $18.50/hr

At IBM, we foster a culture of continuous learning, coaching, and mentorship. As an intern, you'll ... Computer Science, MIS/IT, Computer Engineering, Information Systems, Data Science, Business ...

Seisiunanalytics

Business Analytics Manager

Columbia, SC · On-site

$90 - $150/hr

... R, or SAS programming expertise Machine Learning (Supervised & Unsupervised) Predictive Analytics & Statistical Modeling Tableau or Qlik Data Visualization Experience leading cross-functional ...

New

Integer Technologies

Software Engineer

Columbia, SC · On-site

$120 - $160/hr

This Software Engineer role will be focused on developing software tools supporting system design ... Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning ...

The Nuclear Company

Cost Estimator

Columbia, SC · On-site

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

The Nuclear Company

Cost Estimator

Columbia, SC

Collaborate with engineering, procurement, construction, commissioning & testing, regulatory, and ... Leverage AI and machine learning tools to analyze historical project data, identify cost drivers ...

Pwc

GenAI Python Systems Engineer-Manager

Columbia, SC · On-site

$99K - $232K/yr

... analytics engineering focus on leveraging advanced technologies and techniques to design and ... Those in artificial intelligence and machine learning at PwC will focus on developing and ...

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Showing results 21-40

All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Lexington, SC

Machine Learning Engineer Intern information

See Lexington, SC salary details

$21.8K

$36.5K

$75.3K

How much do machine learning engineer intern jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning engineer intern in Lexington, SC is $36,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,800.00 and $39,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What cities near Lexington, SC are hiring for Machine Learning Engineer Intern jobs?

Cities near Lexington, SC with the most Machine Learning Engineer Intern job openings:

Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Lexington, SC as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $36,450 per year, or $17.5 per hour.

Software Engineer

Integer

Columbia, SC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago

Integer Holdings rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

260th of 545 rated manufacturers

Job description

About the role
This Software Engineer role will be focused on developing software tools supporting multiple stages of the system lifecycle, including design, modeling, development, manufacturing, and operations for customers in the defense, aerospace, and maritime industries. Key objectives for the role are:
  1. Develop modeling and simulation software tools for complex systems and processes that combine multiple types of models and simulation workflows to support operational planning and control. Types of models and simulations may include CFD, FEA, discrete-event simulation, and machine-learning models.
  1. Research and integrate emerging computational tools and workflows, including AI/ML technologies and modern data architectures, with physics-based modeling and simulation.
  1. Collaborate across disciplines and with university partners to build prototypes that demonstrate technical capabilities applied to design and manufacturing systems with DoW relevance.
  1. Mature prototype capabilities into production-ready enterprise applications supporting the defense industrial base.

What you'll do
  • Agentic Architecture Development: Support research and development of autonomous software agents, deployed in the control of complex systems.
  • Architectural Design & Documentation: Develop and document robust technical solutions for unique problem sets, ensuring scalable and maintainable software architectures and promoting standardization and re-use of modular code.
  • Software Development & Automation: Write clean, efficient code; adapt existing frameworks; and develop pipelines that optimize development processes and drive tangible results.
  • Product Development: Leverage hands-on software development experience to create innovative software products for internal teams and external customers, using proven methodologies from past projects.
  • Data Integration Strategy: Develop and implement methods for integrating data from multiple sources-ranging from design information to transactional and streaming data-to create unified, actionable insights.
  • Software Quality Management through DevOps Practices: Implement and oversee DevOps methodologies to ensure software integrity, maintainability, and scalability. Utilize version control systems (e.g., Git) for source code management, enforce CI/CD pipelines for automated testing and deployment, and apply infrastructure-as-code principles to enhance operational efficiency.
  • Automated Workflow & Cross-Functional Collaboration: Build automated workflows to streamline data and software operations, while collaborating with cross-functional teams including data scientists, engineers, and domain specialists to ensure software solutions align with business needs.
  • Technical & Non-Technical Presentations: Present and clearly articulate architectural solutions to both technical teams and non-technical stakeholders, ensuring alignment and understanding across all levels.
  • Technical Research & Documentation: Conduct research, review technical documentation, and evaluate the pros and cons of emerging technologies to continuously refine engineering strategies.
  • Stakeholder Communication: Translate complex software functions and development requirements into clear, accessible terms for customers, government representatives, project managers, and other non-technical stakeholders.

Qualifications
  • Must be a U.S. Citizen with the ability to obtain and maintain a DoW Secret Clearance (eligibility for Top Secret is a plus).
  • Bachelor's degree in Computer Science, Software/Computer Engineering or related field.
  • 5+ years of professional experience in software development related to modeling, simulation, design, or manufacturing applications.
  • Experience with middleware software languages and technologies. For example: Java, C++, C#, Objective C, Python, SQL, Rust, Perl, Go, REST API, or Bash.
  • Experience with frontend software languages and technologies. For example: Angular, React, Swift, TypeScript, JavaScript, Vue, Cordova or Node
  • Demonstrated proficiency in developing software products for deployment in a defense environment.
  • Demonstrated proficiency in AI and ML technologies, including modeling, and machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn) to enhance system efficiency.
  • Demonstrated proficiency in designing and documenting scalable technical solutions, including microservices, cloud-based architectures, and modular frameworks.
  • Proficiency in building systems utilizing simultaneous data streams from real-world equipment and/or simulations such as Digital Twins.
  • Hands-on experience with DevOps practices, including CI/CD pipelines, automated testing, containerization (Docker/Kubernetes), and version control systems (Git).
  • Experience mentoring junior developers, conducting peer code reviews, and contributing to a knowledge-sharing culture.
  • Excellent problem-solving skills and attention to detail.
  • Excellent written and verbal communication skills; ability to produce clear technical reports and give concise briefings to senior military and executive stakeholders.

Additional Desired Qualifications
  • Masters or PhD in a relevant engineering or computer science discipline.
  • Experience with Systems Engineering and Systems Integration.
  • Experience in development of computation design applications.
  • Experience in manufacturing environments.
  • Experience using modeling and simulation tools in the development and optimization of components and systems, such as FEA, CFD, Discrete-event Simulation.
  • Experience in developing and maintaining enterprise software in production.
  • Experience developing and running applications on HPCs.

What We Do
Integer Technologies is an applied research and product development company founded by scientists and engineers with a passion for protecting freedom with innovation. We perform R&D on next-generation systems and technologies for the Department of Defense and other U.S. Government agencies. We are hardware and software developers with experience transforming research into fieldable technology. Our core portfolio of research includes projects in power & energy systems, unmanned systems (with an emphasis on maritime systems), digital engineering, cyber security, and advanced manufacturing. Our mission is to create a safer world by translating scientific discoveries into reliable products that address urgent national security needs... at the speed of relevance.
Compensation and Benefits
  • Base salary which exceeds local & national industry averages.
  • Integer fully covers medical, prescription, vision, and dental insurance costs for the employee and dependents. Integer's standard plan pays 100% of health insurance premiums for your entire family from a well-known national insurer, saving employees thousands of dollars annually.
  • Year-end performance-based bonuses.
  • 401(k) with company matching that vest immediately; no funny business.
  • Paid vacation.
  • Paid sick leave.
  • Paid holidays.
  • Relocation assistance available.

Company Perks
  • Startup culture with the stability of a large company. Integer's business plan has years of time phased contracted work, alleviating the would-be risk from a traditional small company.
  • Direct access to company leadership, prioritization of people over process, and a stellar team with a shared desire for personal and professional growth.
  • Friendly atmosphere where people enjoy not only their work and what they are creating but enjoy helping each other as well.
  • Bottomless coffee.

What Integer Holdings employees say

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