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Machine Learning Internship Opt Cpt Jobs in Arkansas

Uasys

Machine Shop Fabricator - 12 MONTH

Little Rock, AR · On-site

$52K/yr

... learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8 ... Machine Shop Department's Website: Summary of Job Duties: Consult with and fabricate for faculty ...

Uasys

Graduate Assistant - Bioinformatics

Little Rock, AR · On-site

$1.5K/mo

... internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be ... Statistics, Data Mining, and Machine Learning; * Knowledge of genetics and cell biology. Additional ...

Emerson

Tooling and Machining Specialist

Ash Flat, AR

Lead 5S activities and standardization efforts in machine shop * Collaborate with engineering to ... Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B ...

Emerson

Tooling and Machining Specialist

Ash Flat, AR · On-site

Lead 5S activities and standardization efforts in machine shop * Collaborate with engineering to ... Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B ...

Emerson

Tooling and Machining Specialist

Ash Flat, AR · On-site

Lead 5S activities and standardization efforts in machine shop * Collaborate with engineering to ... Individuals with temporary visas such as E, F-1(including those with OPT or CPT) , H-1, H-2, L-1, B ...

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Machine Learning Internship Opt Cpt information

What kinds of projects or tasks can a machine learning intern expect to work on during an internship?

As a Machine Learning intern, you can expect to be involved in projects such as data preprocessing, exploratory data analysis, model building, and performance evaluation. Interns often work with real datasets, contribute to feature engineering, and assist in deploying models or creating proof-of-concept solutions. Collaboration with data scientists, engineers, and sometimes product teams is common, providing valuable insights into real-world machine learning workflows. This hands-on experience helps interns build technical skills and gain exposure to best practices in the field.

What is a machine learning internship OPT CPT?

A Machine Learning Internship OPT CPT refers to an internship opportunity in the field of machine learning that is specifically available to international students in the U.S. on F-1 visas, who are eligible for Optional Practical Training (OPT) or Curricular Practical Training (CPT). These internships allow students to gain hands-on experience applying machine learning techniques in real-world projects while meeting their academic requirements or career goals. The roles typically involve tasks such as data analysis, building predictive models, and working with large datasets using programming languages like Python or R. OPT is usually used after graduation, while CPT is often part of the academic curriculum during the degree program.

What is the difference between Machine Learning Internship Opt Cpt vs Data Science Internship?

AspectMachine Learning Internship Opt CptData Science Internship
Required CredentialsTypically requires coursework or experience in machine learning, programming, and statisticsRequires knowledge in statistics, data analysis, and programming, often with a focus on data manipulation
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBroad industry sectors including finance, healthcare, tech, with data analysis focus
Employer & Industry UsageUsed by companies developing AI/ML products and servicesUsed across industries for data-driven decision making

While both internships involve working with data, the Machine Learning Internship Opt Cpt focuses on developing algorithms and models, whereas Data Science Internships emphasize data analysis and insights. Your choice depends on whether you want to specialize in machine learning techniques or broader data analysis tasks.

What are the key skills and qualifications needed to thrive as a machine learning intern OPT CPT?

To thrive as a Machine Learning Intern (OPT CPT), you need a solid background in computer science, mathematics, and statistics, often demonstrated by coursework or a related degree. Experience with programming languages like Python or R, familiarity with machine learning frameworks such as TensorFlow or scikit-learn, and understanding of data analysis tools are commonly required. Strong problem-solving abilities, curiosity, and effective teamwork and communication skills help interns stand out. These skills are crucial for successfully contributing to projects, learning from real-world data, and collaborating with multidisciplinary teams.
What job categories do people searching Machine Learning Internship Opt Cpt jobs in Arkansas look for? The top searched job categories for Machine Learning Internship Opt Cpt jobs in Arkansas are:
What cities in Arkansas are hiring for Machine Learning Internship Opt Cpt jobs? Cities in Arkansas with the most Machine Learning Internship Opt Cpt job openings:
Machine Learning Internship Opt Cpt jobs near you

Graduate Assistant/EAC (Multiple Open Positions)

University of Arkansas System

Little Rock, AR • On-site

$12.50 - $15.75/hr

Part-time

Re-posted 29 days ago

University Of Arkansas System rating

7.1

Company rating: 7.1 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

411th of 616 rated colleges and universities

Job description

Current University of Arkansas System employees, including student employees and graduate assistants, need to log in to Workday via MyApps.Microsoft.com, then access Find Jobs from the Workday search bar to view and apply for open positions. Students at University of Arkansas System two-year institutions will also view open positions and apply within Workday by searching for "Find Jobs for Students".
All Job Postings will close at 12:01 a.m. CT on the specified Closing Date (if designated).
If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You will be able to access and complete the application through "My Draft Applications" located on your Candidate Home page.
Closing Date:
Type of Position:
Graduate Assistant
Workstudy Position:
No
Job Type:
Academic Term (Fixed Term)
Work Shift:
Sponsorship Available:
No
Institution Name:
University of Arkansas at Little Rock
The University of Arkansas at Little Rock is a metropolitan research university that provides an accessible, quality education through flexible learning and unparalleled internship opportunities. At UA Little Rock, we prepare our more than 8,900 students to be innovators and responsible leaders in their fields. Committed to its metropolitan research university mission, UA Little Rock is a driving force in Little Rock's thriving cultural community and a major component of the city and state's growing profile as a regional leader in research, technology transfer, economic development, and job creation.
Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening. To apply for the position, please click the Apply link/button.
If you have a disability and need assistance with the hiring process please contact Human Resources at 501-916-3180.
For general application assistance or if you have questions about a job posting, please contact Human Resources at 501-916-3180.
Department:
EAC Operations
Department's Website:
Summary of Job Duties:
The EAC is seeking talented student researchers for the academic semester. The student researchers will participate in project development of EAC relevant fields such as interactive immersive technologies or cyber security. The position can be extended to future semesters. Students are expected to have an adequate background in software-development processes or digital workflows. The position is governed by state and federal laws.
Qualifications:
Required Education and/or Experience:
  • Bachelor's Degree from an accredited institution of higher education;
  • Regular admission to a UA Little Rock graduate degree program or good standing with the UA Little Rock Graduate School for continuing graduate students;
  • Ability to work the required hours (FT-50% - 20 hours per week/PT-25% - 10 hours per week) with regular attendance

Preferred Education and/or Experience:
  • Enrolled in a relevant graduate program (e.g., Computer/Information Science, Computer Engineering, or a related field)Strong background in (real-time) computer graphics, game engines, human-computer interaction, or machine learning.
  • Experience in software-development processes or digital workflows preferred

Job Duties and Responsibilities:
  • Participate in supervised as well as non-supervised research and development of EAC projects

Knowledge, Skills, and Abilities:
  • Proficient in advanced computer literacy including automation technologies
  • Proficiency in programming languages such as C++, Python, or JavaScript.
  • We expect familiarity with one or more of the following:
  • Experience with computer-graphics APIs (e.g., OpenGL, DirectX, Vulkan) and frameworks (e.g., Unity, Unreal) or interactive software frameworks (e.g., Flutter/Kotlin, Angular JS)
  • Machine-learning software frameworks (e.g., TensorFlow, PyTorch) and data analysis techniques.
  • For Cyber Security web development, data bases, machine learning, and cloud API's
  • Excellent problem-solving skills, critical thinking, and a passion for research.
  • Familiarity with reading and analyzing scientific publications and writing project documentation
  • Applicants are encouraged to provide samples of their previous experiences (e.g., software repositories, published papers, portfolios)

Additional Information:
Salary Information:
Commensurate with education and experience
Required Documents to Apply:
Resume
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
Tom Coffin, Research Associate, tacoffin@ualr.edu
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
Pre-employment Screening Requirements:
No Background Check Required
The University of Arkansas at Little Rock is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
The University of Arkansas is an equal opportunity institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of any category or status protected by law, including age, race, color, national origin, disability, religion, protected veteran status, military service, genetic information, sex, sexual orientation, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
Constant Physical Activity:
Sitting
Frequent Physical Activity:
Sitting
Occasional Physical Activity:
Sitting
Benefits Eligible:
No

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About University of Arkansas System

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The University of Arkansas System is a prominent player in the education industry, based out of Little Rock, AR, in the United States. Serving as the governing body of various public universities, two-year community colleges, and other educational institutions throughout Arkansas, the System plays an integral role in shaping the state's educational landscape. Established in 1871, the University of Arkansas System is characterized by its commitment to education and its deep-seated values of academic freedom, shared governance, and equal opportunity. Through relentless pursuit of its mission - to improve the mind, body, and keep the quality and accessibility of education services at the forefront of its operations, the system has achieved significant milestones, such as being accredited by the Higher Learning Commission.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Little Rock, AR, US

Year founded

1871

Social media

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