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Embedded Machine Learning Internship Jobs in South Carolina

Comprehensive Logistics

Plant General Manager

Duncan, SC · On-site

$110 - $170/hr

... machine learning, and process-driven execution to optimize workflows, eliminate inefficiencies, and ensure flawless delivery. More than a logistics provider, CLI is a true embedded partner - ensuring ...

CYNET SYSTEMS

Data Scientist

Greenville, SC · On-site

$45 - $50/hr

Develop and validate Machine Learning models that support demand forecasting, scenario modeling ... Read and interpret SQL queries, business logic, and semantic models embedded in current reports and ...

CYNET SYSTEMS

Data Scientist

Greenville, SC · On-site

$45.96 - $50.96/hr

Develop and validate Machine Learning models that support demand forecasting, scenario modeling ... Read and interpret SQL queries, business logic, and semantic models embedded in current reports and ...

Blanchard Equipment Company, Inc

This is a Paid Internship Position** Purpose: Participate in on-the-job training and work to obtain ... Interest in learning methods, materials, tools and techniques used in the repair of outdoor power ...

Comprehensive Logistics

Plant General Manager

Duncan, SC · On-site

... machine learning, and process-driven execution to optimize workflows, eliminate inefficiencies, and ensure flawless delivery. More than a logistics provider, CLI is a true embedded partner - ensuring ...

Omnicom

Full Stack Developer

Greenville, SC · Hybrid

As a team of technologists, problem-solvers, and creative collaborators embedded within a leading ... Interest in emerging technologies such as AI, machine learning, and cloud-native automation tools.

Omnicom

Full Stack Developer

Greenville, SC · On-site

As a team of technologists, problem-solvers, and creative collaborators embedded within a leading ... AI, machine learning, and cloud-native automation tools. If you are passionate about building ...

CYNET SYSTEMS

Mechanical Engineer II

Greenville, SC · On-site

$44 - $49/hr

... learning in gas turbine design, repair, manufacturing, or services. * Academic or Internship ... Machining. * Laser Applications. * Joining/Brazing. * Coating. * Inspection Technologies.

New

CYNET SYSTEMS

Mechanical Engineer II

Greenville, SC · On-site

$44.70 - $49.70/hr

... learning in gas turbine design, repair, manufacturing, or services. Academic or Internship ... Fixture Development. Machining. Laser Applications. Joining/Brazing. Coating. Inspection ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in South Carolina

Embedded Machine Learning Internship information

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

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

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.

What are the most commonly searched types of Embedded Machine Learning jobs in South Carolina?

The most popular types of Embedded Machine Learning jobs in South Carolina are:

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

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

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

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

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

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

Embedded Machine Learning Internship jobs near you

New Grad 2027 - Software Engineering

LPL Financial Holdings, Inc.

Fort Mill, SC • On-site

$32.19 - $53.68/hr

Full-time

Medical, Retirement, PTO

Posted 10 days ago

LPL Financial rating

7.4

Company rating: 7.4 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

119th of 151 rated financial services

Job description

Job Overview:
LPL Financial is seeking a motivated and technology-driven Software Engineering new grad to help build innovative solutions that support financial advisors and their clients. This role will work alongside experienced engineers and mentors, contributing to real-world projects while gaining hands-on experience with modern software development practices, cloud technologies, and AI-powered development tools. This role is ideal for recent graduates who are passionate about coding, problem-solving, and building scalable technology solutions.
Responsibilities:
  • Design, develop, test, and maintain web applications using technologies such as
  • React, Angular, Java, Python, .NET, Node.js, and related frameworks.
  • Build and support APIs, backend services, databases, and cloud-based applications.
  • Leverage automation and AI-assisted development tools to improve software quality, productivity, and operational efficiency.
  • Collaborate closely with engineering, product, design, and business teams to deliver impactful solutions.
  • Participate in code reviews, testing, debugging, and troubleshooting activities.
  • Follow software development best practices, including security, performance, and reliability standards.

What are we looking for?
We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements:
  • Completed a bachelor's or master's degree in computer science, management information systems (MIS), software engineering or a related field.
  • Available to work from of LPL Financials' primary office locations
  • Hands-on experience through coursework, internships, hackathons, or personal projects using at least one programming language such as Python, Java, C#, or JavaScript

Core Competencies:
  • Software Engineering Fundamentals - Understanding of software development, testing, debugging, databases, APIs, and secure coding practices.
  • Problem Solving & Collaboration - Ability to work effectively across teams and solve technical challenges in a structured manner.
  • Cloud & Modern Development Practices - Familiarity with cloud platforms,
  • DevOps principles, and scalable application development.

Preferences:
  • Previous internship experience within a large-scale enterprise environment
  • Experience with modern development frameworks and technologies such as React, Angular, .NET, Node.js, or Spring Boot.
  • Exposure to cloud platforms (AWS, Azure, or Google Cloud), CI/CD pipelines, Git, and RESTful APIs.
  • Familiarity with AI/Generative AI technologies, AI-powered coding tools, machine learning concepts, or intelligent automation solutions.
  • Participation in team software projects, hackathons, internships, or open-source contribution

Priority Application Date: September 21 at 11:59 PM PST
PLEASE NOTE: This role follows a priority application approach. Candidates who apply by this date will receive priority consideration, and we anticipate that most hiring decisions will be made following the priority application date. Candidates are encouraged to apply early, as applications will be reviewed on a rolling basis.
Disclaimer for international students:
  • At this time, for our early career program positions, we're unable to consider candidates who require sponsorship now or in the future. For other positions, within LPL it will depend on the specific position.

  • You will be responsible for obtaining and providing to LPL the required I-9 documentation as part of our onboarding process.

  • Positions offered are for full-time work at 40 hours per week.

  • Please consult your Designated School Official to confirm your eligibility with your school ability prior to applying.

Pay Range:
$32.19-$53.68/hour
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26

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