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Embedded Machine Learning Internship Jobs in Arkansas

Cognizant Technology Solutions

Sr data engg

Bentonville, AR · On-site

$100 - $140/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The architect will define modern analytics architecture enable advanced machine learning ... Ensure security and compliance requirements are embedded into all BigQuery and Python solutions by ...

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 ...

Sony

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Sony

$50/hr

Position Summary Sony AI is seeking research interns who are passionate about ML-based technologies ... Strong analytical and programming skills in deep learning using frameworks and tools for machine ...

Nabholz Construction Services

Intern - Construction

Conway, AR · On-site

$13.25 - $17.50/hr

Summary: NABHOLZ CONSTRUCTION seeks to provide interns with learning opportunities in a dynamic ... or dangerous machinery. AA/EOE. Women, Minorities, Veterans, and Disabled People Encouraged to ...

New

Nabholz Construction Services

Intern - Construction

Rogers, AR · On-site

$12.50 - $16.75/hr

Summary: NABHOLZ CONSTRUCTION seeks to provide interns with learning opportunities in a dynamic ... or dangerous machinery. AA/EOE. Women, Minorities, Veterans, and Disabled People Encouraged to ...

New

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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 Arkansas?

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

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

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

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

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

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

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

Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Arkansas as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution.

Machine Shop Fabricator - 12 MONTH

University of Arkansas System

Little Rock, AR • On-site

$52K/yr

Full-time

Re-posted 11 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

409th of 618 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:
Researchers
Workstudy Position:
No
Job Type:
Regular
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:
Machine Shop
Department's Website:
https://ualr.edu/git/shops/
Summary of Job Duties:
Consult with and fabricate for faculty and graduate/undergraduate students the design and construction of research and educational equipment. Maintain, troubleshoot, and service the fabrication shop equipment, CNC turning centers, and vertical machining centers. This position is governed by state and federal laws, and agency/institution policy.
Qualifications:
Required Education and or Experience:
  • Minimum high school diploma required;
  • Must demonstrate excellent computer skills, including job-specific software such as SolidWorks, CAM Works, Word, and Excel;
  • Ability to deadlift up to fifty pounds, climb ladders/stairs and stand for long periods;
  • Must perform routine maintenance on metalworking tools such as mills, lathes, grinders, band saws, drill presses, etc.;
  • Must have experience using hand and power tools for metal and woodworking;
  • Must be able to weld aluminum and stainless steel.

Job Duties:
  • Fabricate equipment, tooling, and other devices for research and educational endeavors;
  • Render 3D models of parts for prototyping/assemblies, reference, and billing;
  • Design/generate part models utilizing CNC and other computer-aided manufacturing software for the fabrication of parts, machines, and equipment;
  • Consult with faculty, staff, and students in the conceptual stages of new projects and subsequent phases of existing projects.

Additional Job Duties (Non-Essential)
  • Consult with off-campus academia, industry, small/start-up businesses, and the community at large to assist in the development of conceptual design, prototyping, and manufacturing;
  • Enhance student interest by facilitating real-world learning opportunities, hands-on demonstrations, and experience in conjunction with both research and senior design projects;
  • Assist with repair and maintenance of GIT-maintained equipment and instrumentation.

Knowledge, Skills, and Abilities:
  • Journeyman toolmaker skills to fabricate special tools to precisely manufacture custom parts and machines for faculty and student research projects;
  • Journeyman status or equivalent welding experience using MIG, TIG, stick, and oxy-acetylene;
  • Sheet metal working experience using shears, rolls, and brakes;
  • Proficiency in computer-aided drafting, including SolidWorks and CAM Works;
  • Proficiency with computer-aided manufacturing and CNC machining;
  • Proficiency in using woodworking tools, equipment, and supplies;
  • Extensive knowledge of machining material properties;
  • Forklift operation and experience with rigging and lifting;
  • Able to follow verbal and written instructions;
  • Able to be a confident decision-maker.

Additional Information:
Salary Information:
$52,000
Required Documents to Apply:
List of three Professional References (name, email, business title), Resume
Optional Documents:
Special Instructions to Applicants:
Recruitment Contact Information:
Ben Gilbert
Design Engineer/Shop Coordinator/Instructor
501.916.6678
rbgilbert@ualr.edu
ETAS Annex 004A
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:
Criminal Background Check, Sex Offender Registry, Substance Abuse Testing
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:
Manipulate items with fingers, including keyboarding, Sitting, Standing
Frequent Physical Activity:
Grasping, Pulling, Pushing, Reaching
Occasional Physical Activity:
Climbing, Crouching, Hearing, Lifting, Sharps, Stooping, Talking, Walking
Benefits Eligible:
Yes

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About University of Arkansas System

Sourced by ZipRecruiter

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

Twitter

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