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Internship Full Stack Machine Learning Engineer Jobs in Laurel, MS

... learning, and making a difference! Rimkus (www.rimkus.com) is a worldwide leader in Engineering and ... We offer our full-time employees a competitive salary, bonus opportunities and a full benefits ...

... learning, and making a difference! Rimkus (www.rimkus.com) is a worldwide leader in Engineering and ... We offer our full-time employees a competitive salary, bonus opportunities and a full benefits ...

Workforce Instructor Pool

Ellisville, MS ยท On-site

$14 - $18.50/hr

Maintain a classroom environment that is conducive to learning, deal with discipline problems in a ... Computer Programming * Computer Repair * CPR (all levels) * Customer Service * Electrical ...

Workforce Instructor Pool

Ellisville, MS ยท On-site

$14 - $18.50/hr

Maintain a classroom environment that is conducive to learning, deal with discipline problems in a ... Computer Programming * Computer Repair * CPR (all levels) * Customer Service * Electrical ...

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

PLC Tech

Waynesboro, MS ยท 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.

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.

PLC Tech

Waynesboro, MS ยท 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.

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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 Jun 28, 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.

Infographic showing various Internship Full Stack Machine Learning Engineer job openings in Laurel, MS as of June 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.
Assistant/Associate Professor - Educational Statistics and Research

Assistant/Associate Professor - Educational Statistics and Research

University of Southern Mississippi

Hattiesburg, MS โ€ข On-site

Full-time

Posted 5 days ago


University Of Southern Mississippi rating

4.4

Company rating: 4.4 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

535th of 541 rated colleges and universities


Job description

Assistant/Associate Professor - Educational Statistics and Research
The University of Southern Mississippi is currently accepting applications for the position of Assistant/Associate Professor - Educational Statistics and Research.
Position Details
Location
Hattiesburg
118 College Drive
Hattiesburg, Mississippi, 39406-0001
United States
Division
School of Education
Position Type
Faculty
Employment Status
Full Time
Grant Funded
No
Pay Grade
Generic Grade
Posting Close Date
July 31, 2026
Special Instructions to ApplicantsReview of applications will begin September 15, 2025, andwill continue until the positions are filled. Inquiries about the positioncan be directed to Dr. Thomas Lipscomb (Thomas.Lipscomb@usm.edu).A completed application willinclude 1) a cover letter describing applicant strengths and qualifications forthe position, 2) a CV, 3) the names and contact information of threeindividuals who can provide a recommendation, and 4) academic transcripts (officialtranscripts are preferred and are necessary for hire). Application materialscan be uploaded to the HR site found here: https://jobs.usm.edu. Applicants must be currently authorized to work in theUnited States on a full-time basis without the need for visa sponsorship. TheUniversity will not sponsor applicants for work visas (e.g., H-1B).
Job Summary
The School of Education at The University of Southern Mississippi (USM) invites applicants for four (4) tenure-track positions (3 assistant professor rank, 1 assistant or associate rank) beginning August 2026 with requirements to be physically present on the Hattiesburg campus. We aim to recruit applicants who will emphasize training students to become productive and thoughtful researchers and practitioners. Area of research interest is open. This position will primarily support the Ph.D. in Research, Evaluation, Statistics, and Assessment as well as other graduate programs within the School. These programs include master's, specialist, and doctoral degrees. Courses include face-to-face, online, and hybrid delivery formats. Qualified applicants will be prepared to contribute to the mission of the School of Education at the graduate level.
Primary Duties and Responsibilities
  1. Teaching and mentoring graduate students in research classes across programs.
  2. Contributing to the mission of the university and profession through service activities.
  3. Conducting and disseminating high-quality independent research
  4. Performing other duties as assigned.

Minimum Qualifications
The ideal candidate for this position will have:
For assistant rank:A Ph.D. degree in Educational Research, Educational Psychology, or closely related field (by August 2026).
Evidence of scholarly potential
For Associate rank:
A Ph.D. degree in Education Research, Educational Psychology, or closely related field AND 5 years of experience in a tenure track position or equivalent.
Evidence of research success reflected in scholarship and funding history.
Knowledge, Skills & Abilities
  • Experience setting clear performance expectations and provision of meaningful feedback in higher education
  • Experience and/or familiarity with technology use, particularly in the online learning environment in higher education
  • Demonstrated ability to deliver accurate, concise and quality communication (verbal and written) in a timely manner to everyone.

Preferred Qualifications
Preferred qualifications include:
For Assistant rank:Experience teaching graduate educational and interdisciplinary research and/or statistics courses.
Preparation to teach measurement; advanced quantitative courses that may include data analytics, data science, machine learning; survey and mixed methods research; or other quantitative areas.
Experience mentoring student research.
Evidence of scholarly potential.
For Associate rank:
All of the above plus:
Promotion in rank as higher education faculty
University leadership experience
External funding success
About The University of Southern Mississippi
Since our founding in 1910, The University of SouthernMississippi has remained dedicated to preparingstudents for success. We deliver programs to more than 13,000 studentsin Hattiesburg and Long Beach, at teaching and research sites across theMississippi Gulf Coast, as well as online. Weare a community-engaged Carnegie R1 university, earning distinction as one ofthe nation's leading research institutions.
Southern Miss is known for pioneering work inpolymer science, ocean science, spectator sports safety and security, and bringinglanguage to children with communication disorders. We are also a nationalleader in a broad range of disciplines, including cybersecurity, hydrography,nutrition, aquaculture, kinesiology, and economic development, among others.
We produce graduates ready to enterfields that are leading the way in emerging technologies through programs suchas computer engineering, information technology, and ocean engineering. We're developing the next generation ofbusiness leaders, while also responding to critical workforce shortages byproducing skilled professionals in education and nursing. With a tradition ofexcellence in the arts, we are one of only 36 public institutions in the nationaccredited in four major areas of the arts. Home to the Golden Eagles, ourstudent-athletes compete in 17 NCAA Division I sports. With a culture marked by passion andpersistence, Southern Miss is delivering graduates who are ready for life. For more information, visit www.usm.edu.
The University of Southern Mississippi is an equal opportunity employer, and all qualified applicants will receive consideration for employment. EOE/VETS/DISABILITY.