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Internship Full Stack Machine Learning Engineer Jobs in Laurel, MS

Hood Lumber

PLC Tech

Waynesboro, MS

$27.87 - $40.31/hr

Troubleshoot and repair electrical machinery and control systems throughout the plant, including ... Maintain technical knowledge through training programs, workshops, and on-the-job learning.

Hood Lumber

PLC Tech

Waynesboro, MS · On-site

$27.87 - $40.31/hr

Troubleshoot and repair electrical machinery and control systems throughout the plant, including ... Maintain technical knowledge through training programs, workshops, and on-the-job learning.

Owens Corning

Sr Maintenance Planner

Laurel, MS

... maximized machine uptime and reliability and improve workforce productivity and quality by ... Work collaboratively with Operations, Stores, Engineering, other Planners, Foremen, Supervisors ...

Owens Corning

Sr Maintenance Planner

Laurel, MS · On-site

... maximized machine uptime and reliability and improve workforce productivity and quality by ... Work collaboratively with Operations, Stores, Engineering, other Planners, Foremen, Supervisors ...

NCR Voyix

Field Service Technician I

Petal, MS · On-site

$19 - $20.83/hr

Field Engineer? Service Technician? Or do you want to start a career in this field? Are you tech ... We are building a learning community where you can work with diverse individuals, explore new ways ...

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All JobsFull Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer JobsInternship Full Stack Machine Learning Engineer Jobs in Laurel, MS

Internship Full Stack Machine Learning Engineer information

See Laurel, MS salary details

$38.4K

$116.4K

$164.5K

How much do internship full stack machine learning engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for internship full stack machine learning engineer in Laurel, MS is $116,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,900.00 and $136,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Full Stack Machine Learning Engineer, and why are they important?

To succeed as an Internship Full Stack Machine Learning Engineer, you need a solid understanding of programming (Python, JavaScript), basic machine learning concepts, and foundational knowledge in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, web development tools (React, Node.js), and version control systems like Git is typically expected. Strong problem-solving abilities, collaboration skills, and a willingness to learn set exceptional interns apart. These skills enable interns to contribute effectively to both model development and deployment, bridging the gap between data science and software engineering in real-world applications.

What is an Internship Full Stack Machine Learning Engineer?

An Internship Full Stack Machine Learning Engineer is a student or early-career professional who supports both the development of machine learning models and the integration of these models into full-stack applications. This role typically involves working on data preprocessing, building and training machine learning algorithms, and deploying these models within web or mobile applications. Interns in this field gain experience in both backend and frontend technologies, as well as in machine learning frameworks and tools. The position is ideal for those seeking hands-on experience in applying AI solutions within real-world products.

What types of projects and responsibilities can I expect as an Internship Full Stack Machine Learning Engineer?

As an Internship Full Stack Machine Learning Engineer, you can expect to work on end-to-end machine learning projects that involve both model development and integration into web or cloud applications. This may include tasks like cleaning and preparing datasets, building and testing machine learning models, developing APIs to serve predictions, and collaborating with front-end developers to deliver user-facing features. Interns often work closely with data scientists, software engineers, and product managers, gaining exposure to the full development lifecycle. These experiences help build both technical and teamwork skills, laying a strong foundation for a future career in the field.

What is the difference between Internship Full Stack Machine Learning Engineer vs Software Developer Intern?

AspectInternship Full Stack Machine Learning EngineerSoftware Developer Intern
Required SkillsKnowledge of machine learning, programming (Python, JavaScript), full stack development, data handlingProficiency in programming languages (Java, Python, JavaScript), software development, basic algorithms
Work EnvironmentCollaborates on ML models, data pipelines, backend and frontend developmentFocuses on application development, coding, debugging, and testing
Industry UsageUsed in AI-driven companies, tech startups, data science teamsCommon in software firms, app development companies, tech startups

The Internship Full Stack Machine Learning Engineer role emphasizes working with machine learning models and data-driven applications, combining full stack development skills with AI expertise. In contrast, a Software Developer Intern focuses more on traditional software development tasks like coding and debugging. Both roles are valuable entry points in tech, but they target different skill sets and project types.

Internship Full Stack Machine Learning Engineer jobs near you
Infographic showing various Internship Full Stack Machine Learning Engineer job openings in Laurel, MS as of July 2026, with employment types broken down into 25% Internship, 25% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $116,380 per year, or $56 per hour.

PLC Tech

Hood Lumber

Waynesboro, MS

$27.87 - $40.31/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 10 days ago

Job description

The PLC Technician supports mill operations by diagnosing, troubleshooting, and optimizing PLC-controlled electrical, instrumentation, and process systems, including mechanical power transmission, hydraulic, and pneumatic equipment.
This is an excellent time to join our team. We are currently constructing a new, state-of-the-art sawmill, reinforcing our commitment to safety, operational excellence, and long-term growth. We are looking for a skilled Controls / PLC Technician who wants to grow their career with a company that values craftsmanship, teamwork, and technical expertise.
Key Responsibilities:
  • Troubleshoot and repair electrical machinery and control systems throughout the plant, including sawmill, planer, boiler, and kiln operations.
  • Diagnose and resolve PLC, electrical, instrumentation, and process control issues.
  • Interpret PLC logic and make necessary modifications to restore or improve equipment performance.
  • Implement and support new control systems and upgrades to improve equipment efficiency and reliability.
  • Coordinate work activities with production and maintenance leadership to minimize downtime.
  • Maintain critical backups for all computer systems and PLC programs.
  • Set up and operate test equipment to evaluate system and component performance; document and analyze results.
  • Build, calibrate, maintain, troubleshoot, and repair electrical instruments and testing equipment.
  • Provide technical support before, during, and after construction or equipment installation projects.
  • Complete work orders and documentation accurately and in a timely manner.
  • Conduct inspections for quality control and assurance programs, reporting findings and recommendations.
  • Use precision measurement tools to calibrate and adjust equipment.
  • Maintain technical knowledge through training programs, workshops, and on-the-job learning.
  • Comply with all OSHA, health, safety, and environmental regulations.
Qualifications:
  • High school diploma or equivalent required; Associate degree or technical certification is a plus.
  • 2+years of industrial PLC experience.
  • Manufacturing experience required; wood products experience preferred.
  • Strong experience with Allen-Bradley ControlLogix and CompactLogix.
  • Knowledge of industrial electricity, motor controls, VFDs, and AC drives.
  • Strong troubleshooting and problem-solving skills.
  • Excellent communication skills with the ability to work in a team environment and collaborate effectively across production, maintenance, and engineering.
  • Ability to read electrical schematics and blueprints.
  • Willing and able to work any shift, holidays, weekends, and overtime as needed.
  • Ability to stand, walk, climb, bend, and work in industrial environments for extended periods.
  • Ability to lift up to 50 pounds, work at heights or in confined spaces, and safely use tools and equipment.
  • Ability to work in hot, dusty, noisy conditions and wear required PPE.
Salary Range: $27.87 - $40.31/per hour
Additional Information:

Hood Industries offers a competitive salary and an excellent benefits package including medical, employee assistance program, dental, vision, cancer, flexible spending account, life, 401k, and LTD, available first of the month following completion of one month of continuous full-time employment.
Hood Industries requires that applicants consent to a background check and a drug screen to continue in the selection process. All employment offers are contingent on meeting our background check standards and successful passing of required drug test. If hired, you will be required to provide documentation indicating your legal right to work in the U.S.
An Equal Opportunity Employer
Employment Type: Full-Time

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