ZipRecruiter

Log In

1

Machine Learning Engineer Intern Jobs in Clemson, SC

Varsity Tutors

Machine Learning Tutor

Greenville, SC · Remote

$18 - $40/hr

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

Garver

Structural Engineering Intern

Greenville, SC · On-site

$15.75 - $20.50/hr

... Engineering Intern. This is your chance to dive into the world of design, gaining hands-on ... Enhance your professional growth by collaborating with Garver's Learning and Development team ...

Garver

Mechanical Engineering Intern

Greenville, SC · On-site

$17.75 - $23.75/hr

Are you an ambitious engineering student ready to embark on an exciting journey? Look no further ... Enhance your professional growth by collaborating with Garver's Learning and Development team ...

Garver

Civil Engineering Intern

Greenville, SC · On-site

$16.50 - $21.50/hr

Are you an ambitious engineering student ready to embark on an exciting journey? Look no further ... Enhance your professional growth by collaborating with Garver's Learning and Development team ...

Garver

BIM Intern

Greenville, SC · On-site

$15.75 - $20.50/hr

Are you an ambitious engineering student ready to embark on an exciting journey? Look no further ... Enhance your professional growth by collaborating with Garver's Learning and Development team ...

next page

Showing results 1-20

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 Aug 13, 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 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 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 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 are popular job titles related to Machine Learning Engineer Intern jobs in Clemson, SC? For Machine Learning Engineer Intern jobs in Clemson, SC, the most frequently searched job titles 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.

Machine Learning Engineer II

SNAP Diagnostics

Anderson, SC • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Job Description:

TTI Consumer Power Tools, Inc., has an opening in its Anderson, SC corporate office for aElectrical Machine Learning (ML) Engineer II that will report into the Sr. Director of Engineering. Come join the Engineering team at the most exciting and innovative tool company in the world!

Techtronic Industries is a fast-growing world leader in Power Tools, Accessories, Hand Tools, Outdoor Power Equipment, and Floor Care for Do-It-Yourself (DIY). The Company is committed to accelerating the transformation of these industries through superior environmentally friendly cordless technology. At TTI Anderson, our RYOBI brand is recognized worldwide for their deep heritage and cordless product platforms of superior quality, outstanding performance, safety, productivity, and compelling innovation.

Your Role On Our Team:

The Electrical ML Engineer II will identify, develop, and validate ML-enabled features for outdoor power tools within the OP EE organization. This role partners closely with cross-functional teams to translate customer needs into robust, data-driven solutions that can be demonstrated on-tool and matured toward production readiness.

Key responsibilities include framing ML use cases, designing data-collection strategies and ground-truth methods, performing data engineering and feature development, training and tuning models in Python, and executing disciplined validation to characterize accuracy, robustness, and corner cases. The engineer will also help establish and improve team workflows and guidelines covering the end-to-end ML lifecycle-from problem definition through model training, validation, and deployment considerations.

Primary Job Requirements:

  • Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or a related scientific/engineering discipline with completed coursework, certification, or specialization in Machine Learning, Data Science, or a closely related area.
  • Minimum 2 years of hands-on experience applying ML in an applied setting (e.g., embedded/edge, signal processing, sensing, or electromechanical products), including data collection and model validation.
  • Demonstrated experience applying fundamental ML approaches (e.g., supervised learning for classification/regression, feature engineering, model selection, and hyperparameter tuning).
  • Proficient in developing, debugging, and validating Python code, with experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
  • Experience with modern software development practices and tools (Git-based workflows; familiarity with CI/CD and containers is a plus).
  • Ability to develop and debug code in an embedded environment (C/C++ preferred), including bring-up and hardware-facing troubleshooting will be a plus.
  • Basic knowledge of sensor technologies (e.g., IMUs, thermistors/temperature sensing, magnetic/optical sensing) and microcontroller interfacing.
  • Strong problem-solving and system-thinking skills, with the ability to work in a fast-paced, prototype-to-demo environment.
  • Strong technical communication skills and the ability to plan/execute work to meet project schedules.
  • Demonstrated ownership of deliverables, including understanding dependencies and collaborating effectively with cross-functional stakeholders.

We provide these great perks and benefits:

  • We offer competitive wages and a comprehensive benefits package
    • 401(k)
    • Medical/dental/vision coverage
    • Tuition assistance
    • Vacation and holidays.
  • On-site gym with a managing health and wellness professional.
  • In-house training and development staff.
  • Subsidized cafeteria and Starbucks coffee

Apply