Summer 2026 - AI Engineer Intern

onsemiScottsdale, AZ
1d

About The Position

An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth. onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company’s commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities. Key benefits include: Competitive compensation and medical benefits Flexible work hours aligned with academic schedules Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization Internship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi’s strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles.

Requirements

  • To be considered for an internship, you must be currently enrolled in a degree seeking program.
  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Foundational knowledge of machine learning concepts and algorithms.
  • Experience with Python and data science libraries (Pandas, NumPy, Matplotlib, etc.).
  • Familiarity with SQL and basic data manipulation.
  • Understanding of AI/ML tools, LLMs, or cloud services (Azure).
  • Strong problem‑solving skills and attention to detail.
  • Excellent communication skills and the ability to work in a team environment.

Responsibilities

  • Assist in developing, training, and evaluating machine learning models for prediction, classification, NLP, or generative AI applications.
  • Support data acquisition, cleaning, preparation, and feature engineering efforts.
  • Conduct research on industry AI trends, frameworks, and best practices to support internal projects.
  • Build prototypes using Python, SQL, or relevant ML frameworks (e.g., Scikit‑learn, PyTorch, TensorFlow).
  • Contribute to automation solutions using AI agents, LLMs, or workflow orchestration tools.
  • Help create dashboards, reports, and visualizations to communicate insights effectively.
  • Participate in project meetings, sprint planning, and documentation activities.
  • Collaborate with engineering and analytics teams to test and validate AI system performance.

Benefits

  • Competitive compensation and medical benefits
  • Flexible work hours aligned with academic schedules
  • Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement
  • Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization
  • competitive pay medical benefits
  • various networking event opportunities
  • flexible hours based on school schedule
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