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Machine Learning Remote Internship Jobs in South Carolina

Current remote and field-based Unum employees may apply and will be considered in accordance with ... Conducts end-to-end machine learning tasks from problem synthesis to model deployment. * Data ...

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

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 ...

Startup Intern

Charleston, SC · Remote

$14.25 - $19/hr

Startup Intern Heirloom Cloud Corporation provides exciting internship opportunities to top ... Earn the opportunity for follow on employment, to include remote work. Heirloom is a Service ...

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 ...

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Geospatial Analyst

Charleston, SC · On-site +1

$55K - $72K/yr

Master's degree with two plus years of related experience in geography, remote sensing, GIS, or ... Knowledge or experience related to land cover classification using machine learning or more ...

Lead Engineer, AI Attack Simulation

Charleston, SC · On-site +1

$95K - $126K/yr

Experience with AI red teaming, adversarial machine learning, AI security evaluation, or autonomous ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

$53K/yr

Oversee and develop student interns on graphic design, social media and videoboard execution ... Remote work is not a right, it is a work arrangement that can be modified or revoked by Miami ...

Senior AI Product Manager

Charleston, SC · On-site +1

$118K - $156K/yr

... of machine learning and artificial intelligence capabilities within Workiva's platform. In this ... Reliable internet connection required during remote work periods How You'll Be Rewarded Salary ...

... remote and multi-site teams * Coordinate learning and development opportunities, including training ... internships, and related follow-up * Maintain confidentiality of employee, candidate, and HR ...

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Machine Learning Remote Internship information

What is a machine learning remote internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What types of projects can I expect to work on during a machine learning remote internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What are the key skills and qualifications needed to thrive as a machine learning remote intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in South Carolina?

For Machine Learning Remote Internship jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Machine Learning Remote Internship jobs in South Carolina look for?

The top searched job categories for Machine Learning Remote Internship jobs in South Carolina are:

What cities in South Carolina are hiring for Machine Learning Remote Internship jobs?

Cities in South Carolina with the most Machine Learning Remote Internship job openings:

Infographic showing various Machine Learning Remote Internship job openings in South Carolina as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Machine Intelligence Analyst- P&HVAC

Sunbelt Rentals, Inc.

Fort Mill, SC • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Sunbelt Rentals rating

7.6

Company rating: 7.6 out of 10

Based on 319 frontline employees who took The Breakroom Quiz

96th of 175 rated vehicle equipment hire


Job description

Join Our Team!
Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition.
We pride ourselves on investing in our workforce and offer competitive benefits, as well as extensive on-the-job training for all eligible employees.
As a highly successful national company, we are constantly looking for talented individuals to support our growth. If you are interested in pursuing a rewarding career, we invite you to review our opportunities!
Job Description Summary
Position Objective:
A Machine Intelligence Analyst focuses on utilizing advanced data analysis, artificial intelligence (AI), and machine learning (ML) to improve the performance, safety, and efficiency of heavy equipment. This role bridges the gap between raw telematics data-collected from sensors and CAN bus/Modbus systems-and actionable business intelligence by automating reporting and alerting to drive predictive maintenance, fuel savings, and operational optimization.
Position Responsibilities:
  • Predictive Maintenance & Diagnostics: Analyze sensor data (vibration, temperature, hydraulic pressure) to predict equipment failure, reducing downtime and lowering maintenance costs.

  • Telematics & Data Engineering: Extract, clean, and analyze raw data from CAN bus, Modbus, and GPS systems to monitor fleet health and location in real time.

  • Performance Optimization: Develop AI/ML models to improve fuel efficiency and optimize workflows (e.g., automated scheduling).

  • Automated Alerting & Reporting: Create automated dashboards and proactive alerts for operators/managers regarding abnormal machine behavior.

  • Operational Safety: Utilize ML to identify unsafe operator behavior (e.g., sudden braking, excessive idling) and ensure compliance with regulatory standards.

Requirements:
Education & Experience:
  • Bachelor's degree in data science, Engineering, Computer Science, or a related field; advanced degrees are often preferred for senior analyst roles.

  • Domain Knowledge: Prior experience in the heavy civil construction or mining industries is highly desirable to understand specific machine behaviors and job site logic.

  • Soft Skills: Strong problem-solving mindset and the ability to communicate technical findings to non-technical stakeholders, such as fleet managers and maintenance crews.

  • Predictive Maintenance Modeling: Develop and refine AI/ML models to identify anomalies in equipment performance (e.g., vibration spikes, temperature fluctuations) to predict failures before they occur.

  • Fleet & Operational Optimization: Analyze machine utilization and idle time to recommend better asset allocation and reduce unnecessary operational costs.

  • Safety & Compliance Monitoring: Use AI to flag risky operator behaviors-such as harsh braking or overloading-and automate reporting for regulatory standards like OSHA.

  • Fuel Efficiency Analysis: Monitor consumption patterns and identify inefficient operating habits to drive fuel savings, often targeting reductions of up to 15%.

  • Automated Reporting & Alerting: Build and maintain dashboards that provide real-time alerts for critical issues like engine faults or unauthorized equipment movement (geo-fencing).

Essential Technical Skills
  • Data Integration: Experience with industrial communication protocols such as CAN bus and Modbus to collect data from machine control systems.

  • AI/ML Frameworks: Proficiency in Python or R, along with libraries like TensorFlow, PyTorch, or Scikit-learn for building predictive models.

  • Telematics Expertise: Strong understanding of GPS technology, onboard diagnostics (OBD), and Telematics Control Units (TCU) for remote monitoring.

  • Data Management: Skills in SQL, data cleaning, and big data tools (e.g., Hadoop, Apache Spark) to handle large volumes of sensor data.

  • Visualization: Ability to create complex queries and interactive dashboards using tools like Power BI, Tableau, or specialized construction software.

Physical Demands:
Must be able to bend, squat, crouch and/or reach and lift up to 25 pounds or more, as required by the job. Some Sunbelt jobs may require driving for long periods of time, loading and unloading heavy equipment, performing work in extreme weather conditions including rain, wind or excessive temperatures and/or night and weekend work. All duties must be performed according to Sunbelt's safety policies and guidelines. Reasonable accommodations may be made to comply with ADA/ADAAA.
The above description covers the principal duties and responsibilities of the job. The description shall not, however, be construed as a complete listing of all miscellaneous, incidental or similar duties which may be required from day to day.
Sunbelt Rentals is an Equal Opportunity Employer - Minority/Female/Disabled/Veteran and any other protected ground
Base Pay Range: $64,790.40 - 89,086.80
Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. Please visit https://www.sunbeltrentals.com/careers/ for more information on our benefits and to join our Talent Network.
Sunbelt also provides a comprehensive benefits package to its full-time employees. This package includes:
  • Health, Dental and Vision plans
  • 401(k) Match
  • Volunteer time off
  • Short-term and long-term disability
  • Accident, Life and Travel insurance, as well as flexible spending
  • Tuition Reimbursement Options
  • Employee Assistance Program (EAP)
  • Length of Service Awards

You will become eligible for benefits on the first of the month following 30 days from your start date. Sunbelt offers team members the following paid time off from work, subject to Sunbelt's policies (unless specified in a collective bargaining agreement):
  • 12-25 vacation days depending on years of service
  • 5 sick days
  • 6 holidays
  • 2 half day holidays
  • 2 floating holidays
  • 1 inclusion day
  • 1 volunteer day

Gear up for an exciting career!
Sunbelt Rentals supports service members. Veterans encouraged to apply.

What Sunbelt Rentals employees say

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About Sunbelt Rentals

Sourced by ZipRecruiter

Sunbelt Rentals strives to be the customer's first choice in the equipment rental industry. From pumps to scaffolding to general construction tools, we aim to be the only call needed to outfit a job site with the proper equipment. Not only do we offer a vast fleet that ranks among the best in the industry, we pair it all with a friendly and knowledgeable staff. Our employees are our greatest asset, and although we present a comprehensive equipment offering, our expertise and service are what truly distinguish us from the competition.

Industry

Consumer goods and commercial equipment rental services

Company size

10,000+ Employees

Headquarters location

Fort Mill, SC, US

Year founded

1983