AI/ML Co-Op Engineer: End-to-End Impact Projects

Skyworks

Irvine (CA)

On-site

USD 3,582,000 - 6,544,000

Full time

14 days+
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Job summary

Skyworks Solutions is seeking an AI/ML Co-Op to join our enterprise AI/ML engineering team in Irvine, CA. This full-time co-op will design, build, and deploy ML solutions across the company, taking ownership of small projects end to end from data gathering to deployment.

You will work with experienced engineers and learn modern AI/ML tooling in a production environment, with involvement across multiple business units and stakeholders.

Qualifications

  • Current junior/senior undergraduate or graduate student studying Computer Science, Data Science, Electrical, Mechanical, or Industrial Engineering for Co-Op in Irvine, CA.
  • Must be able to relocate to Irvine, CA for full-time hours Jan–Jun 2027 at this location.
  • Experience using Python, and AI/ML frameworks like PyTorch; understanding of AI algorithms.
  • Proficiency using VSCode or other IDEs; quick learning of company software (Agentic AI, LangChain, LangGraph, Genie, Databricks, PowerBI).

Responsibilities

  • Gathering and analyzing engineering and business data to identify opportunities for AI/ML solutions.
  • Developing code for core usecase 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 deploy solutions.
  • Assisting with documentation, reporting, and other project deliverables.

Skills

Python
Pytorch
Data analysis
AI/ML knowledge

Education

University student (undergrad/grad)

Tools

VSCode
LangChain
LangGraph
Databricks
PowerBI

Job description

Skyworks Solutions is seeking an AI/ML Co-Op to join our enterprise AI/ML engineering team in Irvine, CA. This full-time co-op will design, build, and deploy ML solutions across the company, taking ownership of small projects end to end from data gathering to deployment.

You will work with experienced engineers and learn modern AI/ML tooling in a production environment, with involvement across multiple business units and stakeholders.

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