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Internship Machine Learning Hardware Jobs in Alaska

Glacier Services Inc.

Automation Technician

Prudhoe Bay, AK · On-site

$47K/yr

Know how to deploy machine learning algorithms and gain insights from them. * Project Management ... Troubleshooting Rockwell ControllLogix hardware and configuration. Qualifications: * Five (5) or ...

Glacier Services, Inc.

Automation Technician

Prudhoe Bay, AK · On-site

$47K/yr

Know how to deploy machine learning algorithms and gain insights from them. * Project Management ... Troubleshooting Rockwell ControllLogix hardware and configuration. Qualifications: * Five (5) or ...

fairbanksmorse

BIRDWA87611 - Intern

Fairbanks, AK

$17.25 - $22.25/hr

... you'll be learning directly from a skilled professional. And all the projects you do will be in ... Prior manufacturing internship/co-op preferred but not required * Experience in CNC machining ...

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Internship Machine Learning Hardware information

What is the difference between Internship Machine Learning Hardware vs Internship Data Scientist?

AspectInternship Machine Learning HardwareInternship Data Scientist
Required CredentialsBasic knowledge of hardware, electronics, and programmingStatistics, programming, and data analysis skills
Work EnvironmentHardware labs, electronics workshops, manufacturing settingsOffice, data analysis environments, cloud platforms
Employer & Industry UsageTech companies, hardware manufacturers, research labsTech firms, finance, healthcare, consulting
Common Search & Comparison IntentUnderstanding hardware-focused roles in ML projectsData analysis and modeling roles in ML

Internship Machine Learning Hardware focuses on developing and optimizing hardware components for ML systems, while Internship Data Scientist emphasizes analyzing data and building models. Both roles are essential in AI development but differ in skills, environment, and industry application.

What is an Internship in Machine Learning Hardware?

An Internship in Machine Learning Hardware is a temporary position for students or recent graduates to gain hands-on experience working with the physical components and systems that enable machine learning applications. Interns typically assist in designing, testing, and optimizing hardware such as GPUs, TPUs, or custom accelerators that run machine learning algorithms efficiently. This role often involves collaboration with software engineers and researchers to improve the performance and energy efficiency of machine learning models. The internship provides valuable exposure to both hardware engineering and the rapidly evolving field of artificial intelligence.

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

To thrive as an Internship Machine Learning Hardware, you need a solid foundation in computer engineering, electrical engineering, or computer science, with coursework or experience in machine learning and hardware design. Familiarity with hardware description languages (like Verilog or VHDL), Python, C++, and tools such as TensorFlow, PyTorch, or FPGA development environments is typically required. Strong problem-solving abilities, eagerness to learn, and effective teamwork and communication skills help interns excel in multidisciplinary environments. These competencies are crucial for contributing to hardware-accelerated machine learning solutions and collaborating efficiently with engineering teams.

What kinds of projects and responsibilities can I expect during an Internship in Machine Learning Hardware?

As an intern in Machine Learning Hardware, you can expect to work on tasks such as benchmarking hardware performance for AI workloads, supporting the development and testing of new accelerator architectures, and optimizing hardware-software integration for machine learning models. You'll often collaborate with both hardware engineers and machine learning researchers, gaining exposure to the entire workflow from design to deployment. These internships typically provide hands-on experience with tools like FPGA, ASIC simulation environments, or specialized ML hardware platforms, and offer opportunities to contribute to real-world product development and research.
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Internship Machine Learning Hardware jobs near you
Internship - Learning Resources Technician LRC

Internship - Learning Resources Technician LRC

Alaska Christian College

Soldotna, AK • On-site

Other

Posted 22 days ago

Job description

Salary: Stipend/Room and Board

**This is an on-site internship in Soldotna, Alaska**


Learning Resources Technician Intern

Academic, Learning Resource Center, Soldotna, Alaska

Alaska Christian College


JOB TITLE: Learning Resources Technician

DEPARTMENT: Learning Resource Center (Academic)

REPORTS TO: Learning Resource Center Manager

STATUS: Full-time, Stipend, Exempt (Grant-funded position), 9 months

Start: August 2026

PURPOSE: Under the direction of the Learning Resource Center Manager, the intern will be involved with day-to-day operations in the Learning Resource Center (including Textbook Services). Will include development of paraprofessional, technical services, technology, and management roles in library/media center/resource center operations.


RESPONSIBILITIES

  1. Management/administration skills
  2. Word processing skills
  3. Materials circulation via Populi Library
  4. Searching and retrieving bibliographic records in Populi Library and all full-text and citation databases and products
  5. Shelving LRC materials
  6. Collection maintenance through shelf reading
  7. Collection maintenance through participation in electronic inventory
  8. Bibliographic short entry (BSE) for manually added data in Populi Library
  9. Importing bibliographic records from exterior utilities and editing records in the local catalog
  10. Unpacking and sorting new materials and gift books
  11. Materials processing
  12. Safety/security oversight including opening and closing the LRC from time-to-time
  13. Materials preservation, including mending materials and preparing materials for the bindery
  14. Maintain syllabi notebooks
  15. Annotate syllabi bibliographies
  16. Produce annotated bibliographies and develop subject specialties
  17. Attend all appropriate staff and faculty meetings
  18. Maintain supply inventory
  19. Monitor research computers for access directly to research databases
  20. Monitor research computers and apprise of equipment malfunctions or access issues
  21. Other duties as assigned/requested


SUPERVISORY RESPONSIBILITIES: None

REQUIREMENTS:

  1. Must understand and maintain the confidentiality of all information seen or heard.
  2. Functions well in a cross-cultural environment, have a teachable attitude, and is willing to be a team player.
  3. Must be able to use relevant information and individual judgment to determine whether events or processes comply with laws, regulations, or standards.
  4. Must be adaptable, with the ability to maintain composure in difficult situations.
  5. Must be able to work split shifts and weekends as needed.
  6. Maintain composure under difficult circumstances and be adaptable.
  7. Must be able to evaluate issues and situations and use logic to determine appropriate solutions.
  8. Must be able to work independently and show good judgment.
  9. Must be organized, efficient, and show good time management skills.
  10. Must be reliable and dependable with regular, timely attendance.
  11. Must be able to pass a background check.


General Internship Guidelines

The internships will be 40 hours a week.

The internship begins in August 2026 and concludes in May 2027.

Must be between the ages of 18 and 28 years old at the time of acceptance of the internship.

College graduate preferred.

Interns will have 11 days off for a 9-month internship.

The supervisor will set working hours.

Interns will be given a stipend of $723.10 paid bi-weekly payroll plus room and board.

At the completion of the internship in May, interns who complete the entire program will receive an additional $100 for each month they participate.

Housing included.

Limited meal plan included.

Interns will be supervised by the directors in the area which they intern.

Composition and documentation of a professional development plan.

Most work will be on campus with some local, statewide, and national travel involved.

October Attendance at Murdock Trusts annual Vision and Call internship conference.

September and February attendance at bi-annual CYAK young adult retreat.

Weekly meetings and coursework with the project advisor.

Must be willing to agree to and sign a statement of Evangelical Covenant

Affirmations and Acknowledgment of the Covenant Affirmations and ABHE statement.


WORKING CONDITIONS:These duties will be conducted in an office environment with limited exposure to hazardous materials. The majority of the shift will be spent seated and working on a computer. Must have adequate sight to meet the responsibilities of the job. Must be able to lift 40 pounds on an occasional basis or ask for assistance loading boxes on a cart.

DRESS CODE:Within the office, business casual dress is expected. Jeans are acceptable as long as they are clean and well-kept. If any questions arise regarding what is appropriate, speak with the supervisor.

STATEMENT OF UNDERSTANDING:This job description is intended to describe the general nature of the work being performed by the person assigned to this position and does not state or imply that it is all-inclusive. Other duties and responsibilities may be added with consideration of the job requirements and skills needed and can be changed verbally or in writing at the discretion of the job's immediate supervisor.