ZipRecruiter

Log In

1

Machine Learning Engineer Intern Jobs in Clemson, SC

DISHER

Vision Engineer

Greenville, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

DISHER

Vision Engineer

Greenville, SC · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... Knowledge on machine learning with AI capabilities. * Self-driven and willingness to work long ...

Solenis LLC

Technical Sales Intern - Paper Industry

Anderson, SC · On-site

$13.25 - $18/hr

Apply your coursework in Chemical Engineering, Mechanical Engineering, Pulp & Paper, Chemistry, or ... Access to a plethora of learning resources for technical expertise and chemical acumen * No-meeting ...

Posted today

Truleo

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

TRULEO

Senior Software Engineer

Greenville, SC · On-site

$115K - $151K/yr

And we're hiring engineers to help us bring case intelligence to more departments. The Role We're ... Experience with Python, machine learning (ML), ML Ops * Experience building AI-powered systems.

previous pagenext page

Showing results 21-40

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

Machine Learning Engineer Intern information

See Clemson, SC salary details

$21.6K

$36.1K

$74.6K

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

As of Sep 2, 2026, the average yearly pay for machine learning engineer intern in Clemson, SC is $36,081.00, according to ZipRecruiter salary data. Most workers in this role earn between $27,500.00 and $39,000.00 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 are the most commonly searched types of Machine Learning Engineer jobs in Clemson, SC?

The most popular types of Machine Learning Engineer jobs in Clemson, SC are:

What job categories do people searching Machine Learning Engineer Intern jobs in Clemson, SC look for?

The top searched job categories for Machine Learning Engineer Intern jobs in Clemson, SC are:

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

Cities near Clemson, 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 Clemson, SC as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $36,081 per year, or $17.3 per hour.

AI & Emerging Technology Researcher

SWJ TECHNOLOGY, LLC

Greenville, SC • On-site

Full-time

Posted 7 days ago

Job description

SWJ Technologie specializes in providing engineering, planning, and project management services across various industries. We are currently seeking an AI & Emerging Technology Researcher for an assigned project with a client in the automotive industry. The position is based in Greenville, SC, and requiresan on-site presence at least two days per week, as well as occasional travel to Munich. If you are eager to grow your career and make a meaningful impact on exciting projects, we look forward to your application.
PURPOSE:
This role is responsible for accelerating and supporting ongoing initiatives in IT innovation and emerging technologies by identifying and defining practical applications to address business-relevant challenges. It involves designing and implementing application prototypes, including front-end, back-end, and machine learning components, while collaborating with cross-functional teams to understand business needs related to innovation. The role also includes performing advanced software engineering, analytics, data preparation, and machine learning tasks to improve IT products, services, and processes.
RESPONSIBILITIES:
  • Analyze business-critical data and processes to identify improvement opportunities and recommend solutions.
  • Perform advanced analytics on complex datasets, optimization problems, and system designs.
  • Evaluate the effectiveness, quality, and reliability of data sources and data collection methods.
  • Collaborate with stakeholders across the organization to identify opportunities for leveraging data to drive business outcomes.
  • Partner with internal and external teams to explore innovation opportunities and transition them into prototype and industrialized solutions.
  • Design, develop, and implement custom data models, algorithms, and machine learning solutions.
  • Coordinate with cross-functional teams to deploy and scale solutions.
  • Act as an internal consultant, supporting developers and engineers across all phases of the product lifecycle.
  • Provide guidance on emerging technologies and support team development through mentoring and on-the-job training.
  • Maintain accurate and up-to-date technical and non-technical documentation.
  • Communicate requirements, progress, and results clearly to stakeholders with varying levels of technical expertise.
  • Support additional tasks as required by leadership.
QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (required).
  • Master's or PhD in Computer Science, Mathematics/Statistics, or a related field (preferred).
REQUIRED SKILLS:
  • 5+ years of experience in IT or software engineering, including machine learning development.
  • Strong programming expertise (5+ years) in at least one of the following: Python, C++, or C#.
  • Proven problem-solving skills with a focus on IT product development.
  • 3+ years of experience with machine learning techniques and their practical applications, including strengths and limitations.
  • 3+ years of experience in software engineering and system architecture.
  • Strong analytical thinking and experience working with complex datasets.
  • Ability to collaborate effectively with cross-functional teams and stakeholders.
  • Strong communication skills, with the ability to translate technical concepts into business insights.
  • Willingness to travel
PREFERRED SKILLS:
  • Experience in process or project management (including relevant certifications).
  • Advanced knowledge of emerging technologies and innovation frameworks.
  • Experience transitioning prototypes into scalable, production-ready solutions.
  • Ability to mentor and train team members on technical and process-related topics.
  • Familiarity with end-to-end product lifecycle development.
PHYSICAL REQUIREMENTS:
  • Work is normally performed in an office, laboratory, manufacturing floor, or machine shop setting where physical work includes, but is not limited to sitting, standing, reaching, kneeling, bending, and lifting up to 25 lbs.
  • Must be able to understand and comply with all relevant safety practices.

FLSA STATUS/WORKING SCHEDULE:
  • Location: Greenville, SC 95% / Munich 5%
  • Schedule: Full Time/, 40 hours per week
  • Overtime: as required
  • Assignment Start: ASAP

DISCLAIMER:
This job description is a high-level overview of general expectations of this position. It is not intended to list every responsibility of the position, nor does it represent an employment contract of any kind.
SWJ TECHNOLOGY and all of its subsidiaries (i.e., SWJ MACHINING and ProjectOne US) are Equal Opportunity Employers and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender, disability status, protected veteran status, or any other characteristic protected by law.

Apply