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Embedded Machine Learning Internship Jobs in Arkansas

Apprenticely

Growth Operations Intern

Bentonville, AR · On-site

$15/hr

Our Apprenticely Internship Program is a three-month program that places selected candidates with ... We replace manual spreadsheet chaos with AI-powered data ingestion, machine learning demand ...

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 ...

Pwc

US Tech - AI Engineering Manager

Fayetteville, AR · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

Pwc

US Tech - AI Engineering Manager

Little Rock, AR · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

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All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Arkansas

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:
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Embedded Machine Learning Internship jobs near you

Growth Operations Intern

Apprenticely

Bentonville, AR • On-site

$15/hr

Full-time, Internship

Posted 6 days ago

Job description

Apprenticely is working with our company partner, the Foreko to add a Growth Operations Intern to their team in Bentonville, Arkansas!
Our Apprenticely Internship Program is a three-month program that places selected candidates with employers across Arkansas in IT positions to gain experience under the guidance of a professional mentor/IT support team. Internships are designed as an on-ramp to an IT career and can roll into full-time positions based on employer demand.
About Foreko:
Foreko is the smart procurement operating system that forecasts, automates, and executes. We replace manual spreadsheet chaos with AI-powered data ingestion, machine learning demand forecasting, and agentic order execution, giving founders back their time and their confidence in their numbers. We are early, growing fast, and headquartered in Bentonville, Arkansas.
About the Role:
This is not a traditional marketing internship. As a Go-to-Market Engineer Intern, you sit at the intersection of marketing, data, and technology. You'll build the systems, automations, and infrastructure that make our GTM machine run: marketing ops, CRM workflows, data pipelines, attribution, and AI-powered growth experiments.
Key Responsibilities:
  • Build, manage, and optimize outreach campaigns using CRM platforms such as HubSpot and Apollo
  • Analyze campaign performance and identify patterns in messaging, targeting, and engagement
  • Develop and automate email sequences, newsletters, and marketing workflows
  • Create systems that improve lead generation, nurture prospects, and increase operational efficiency
  • Experiment with AI and Large Language Models (LLMs) to streamline marketing, content creation, and outreach processes
  • Help improve Foreko's online visibility through content, digital marketing initiatives, and growth experiments
  • Assist with marketing content creation, including website updates, product launch materials, videos, and promotional assets
  • Evaluate and implement automation opportunities across the customer acquisition funnel
  • Understand how data moves between systems and help improve reporting, attribution, and workflow efficiency
  • Collaborate with the team to test new growth channels and marketing strategies

Qualifications of an ideal candidate:
  • Strong problem-solving skills and a willingness to learn quickly
  • Comfortable working in a fast-paced startup environment
  • Excellent written and verbal communication skills
  • Basic analytical skills and the ability to interpret campaign or marketing performance data
  • Familiarity with CRM platforms such as HubSpot, Apollo, Salesforce, or similar tools
  • Interest in marketing technology, automation, growth strategy, or customer acquisition
  • Comfortable using AI tools and Large Language Models (ChatGPT, Claude, Gemini, etc.) to improve productivity and workflows
  • Self-starter who enjoys figuring things out and building processes from the ground up

Bonus Points:
  • Familiarity with CPG, retail, or supply chain
  • Experience with tools like Clay, Apollo, Instantly, or Make/Zapier
  • You've done something entrepreneurial, even if small

Additional Details:
  • Pay Range: $15/hr
  • Schedule: 40-hour week: typically 8 a.m. - 5 p.m. Monday-Friday
  • Length of Internship: 3 months with the potential to convert to a full-time opportunity based on employer demand
  • Location: Bentonville, Arkansas, Hybrid Schedule (3 days in office)

Our Must Haves:
  • Current Arkansas state resident
  • Ability to pass a standard background check
  • Ability to work 40 hours a week, following the three-month internship
  • Ability to work full-time in the United States without a current or future need for visa sponsorship
  • High curiosity and interest in learning new technologies and growing or starting your IT career
  • Technical aptitude exhibited through projects, experience, or online learning and the ability to communicate what you know

$15 - $15 an hour
How does the interview process work? Apprenticely will conduct an initial phone interview and assessment. Apprenticely will send selected resumes to companies that match the candidate's skills and interests. Our employer partners will decide who to interview and select the final candidates for the internship program.
Meet the Apprenticely team and join our upcoming virtual webinars via zoom; dates and details are on our events page.
Check out our YouTube page for past webinars and career tips!
Learn more about us @ www.acds.co & LinkedIn, Facebook, Instagram & Twitter
The Arkansas Center for Data Sciences dba Apprenticely will not discriminate against apprenticeship applicants or apprentices based on RACE, COLOR, RELIGION, NATIONAL ORIGIN, SEX (INCLUDING PREGNANCY AND GENDER IDENTITY), SEXUAL ORIENTATION, GENETIC INFORMATION, OR BECAUSE THEY ARE AN INDIVIDUAL WITH A DISABILITY OR A PERSON 40 YEARS OLD OR OLDER. Apprenticely will take affirmative action to provide equal opportunity in apprenticeship and will operate the apprenticeship program as required under Title 29 of the Code of Federal Regulations, part 30
SMS terms: Arkansas Center for Data Sciences (ACDS) DBA Apprenticely offers you the option to engage in SMS text conversations about your application for jobs and training programs. By participating, you also understand that message frequency may vary depending on the status of your job application, and that message and data rates may apply. Please consult your carrier for further information on applicable rates and fees. Carriers are not liable for delayed or undelivered messages. Reply STOP to cancel and HELP for help. View our Privacy & SMS Policy: https://apprenticely.org/privacy-policy/
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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