AI & Machine Learning Summer/Fall Co-Op (June ’26 – Dec ’26)

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Job Description
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Job Title:

AI & Machine Learning Summer/Fall Co-Op (June ’26 – Dec ’26)
Posting Start Date:

11/12/25
Job Location(s):

Irvine

If you are looking for a challenging and exciting career in the world of technology, then look no further. Skyworks is an innovator of high-performance analog semiconductors whose solutions are powering the wireless networking revolution. Through our broad technology expertise and one of the most extensive product portfolios in the industry, we are Connecting Everyone and Everything, All the Time.

At Skyworks, you will find a fast-paced environment with a strong focus on global collaboration, minimal layers of management, and the freedom to make meaningful contributions in a setting that encourages creative thinking. We are excited about the opportunity to work with you and glad you want to be part of a team of talented individuals who together are changing the way the world communicates.

Requisition ID: 76560

Job Description:

Description
As an AI/ML Co-op, you will support engineering efforts for AI and machine learning initiatives spanning multiple business units. You’ll lead small projects under the supervision of the enterprise AI/ML engineering team, collaborating with stakeholders from various departments.
Term: Summer/Fall (June ’26 – Dec’ 26)
Responsibilities
Your responsibilities will include:
  • Gathering and analyzing engineering and business data to identify opportunities for AI/ML solutions.
  • Developing code for core use case functionality with guidance and gradually work independently
  • Designing and implementing new procedures and workflows for AI/ML projects.
  • Identifying bottlenecks and working with cross-functional teams to develop and deploy solutions.
  • Assisting with documentation, reporting, and other project deliverables.
This opportunity will allow you to sharpen your AI/ML, technical, and problem-solving skills in a dynamic business environment.
Required experience and Skills
  • Current Junior/Senior undergraduate studying Computer Science, Data Science, Electrical, Mechanical, or Industrial Engineering
  • Must be able to temporarily relocate to work on-site, full-time hours from Jan to June 2026
  • Experience using programming languages (Python), and AI/ML frameworks like Pytorch, and an understanding of AI algorithms.
  • Proficiency using VScode or other programming IDEs, ramp up learning curve on using code assists to complete tasks. Be able to quickly learn company-specific software (Agentic AI, LangChain, LangGraph, Genie, Databricks).
Desired Experience and Skills
  • Programming in Python for over 2 + years, understanding of AI/ML algorithms, be able to solve problems quickly
  • Self-starter with a strong work ethic, eager to tackle challenges and take ownership.
  • Willingness to work in a hands-on, collaborative environment.
  • Strong time management, communication, organization, and documentation skills.
Please note: If you have already graduated and are not currently enrolled in school, you are not eligible for this Co-op position.
#LI-DJ1

The typical pay range for an Engineering intern across the U.S. is currently USD $26.00 – $47.50 per hour and for a Non-Engineering intern across the U.S. is currently USD $22.50 – $42.00 per hour. Starting pay will depend on level of education, the ultimate job duties and requirements, and work location. Skyworks has different pay ranges for different work locations in the U.S.

Skyworks is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Skyworks strives to create an accessible workplace; if you need an accommodation due to a disability, please contact us at accommodations@skyworksinc.com.

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Equal Opportunity Employer of Minorities, Females, Protected Veterans, and Individuals with Disabilities

 

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