Machine Learning Modeling Winter​/Co-Op

Machine Learning Modeling Winter/Spring Co-Op (Jan-June '27)

Posting

Start Date:

10/7/26. 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.

Byour 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

Skyworks is a global leader in wireless connectivity, delivering cutting-edge RF, acoustic wave, and semiconductor technologies that power next-generation communication systems. As we continue to expand our artificial intelligence and machine learning capabilities, we are leveraging advanced analytics and data-driven approaches to accelerate innovation, optimize manufacturing processes, and enhance product performance.

We are seeking a highly motivated Machine Learning Modeling Engineer Intern to join our Acoustic Device Group. In this role, you will develop, implement, and optimize machine learning models to support the design, analysis, and development of advanced acoustic and RF devices. You will work with complex engineering datasets and collaborate closely with multidisciplinary teams to apply AI and machine learning techniques to real-world semiconductor challenges.

The ideal candidate has strong analytical and problem-solving skills, a solid foundation in machine learning algorithms and data science, and a passion for applying AI technologies to RF, acoustic wave, and semiconductor engineering. This position offers a unique opportunity to contribute to next-generation wireless products while gaining hands-on experience at the intersection of machine learning and advanced semiconductor technology.

Co-Op Period from January to June 2027

• Apply artificial neural network (ANN) and machine learning techniques to support microwave CAD and semiconductor design projects.
• Develop and evaluate ANN-based models for acoustic devices, electromagnetic (EM) analysis, and parametric modeling.
• Assist in the development of data-driven models for RF filter design and performance prediction.
• Support neural network-based multiphysics modeling of electrical, acoustic, thermal, and mechanical interactions.
• Collect, clean, and preprocess structured, unstructured, time-series, and image datasets for machine learning applications.
• Perform exploratory data analysis (EDA), feature engineering, and data visualization to improve model accuracy and insights.
• Build and optimize LLM-powered agents with capabilities such as tool integration, workflow automation, and multi-step reasoning.
• Research emerging developments in AI, machine learning, and data science, and explore their applications in semiconductor design and manufacturing optimization.

• Currently pursuing an M.S. or Ph.D. degree in Computer Science, Electrical Engineering, Applied Mathematics, Data Science, or a related technical field.
• Solid foundation in machine learning, deep learning, statistical modeling, and data analysis techniques.
• Proficiency in Python programming; experience with C++ and SQL is a plus.
• Hands‑on experience with machine learning frameworks such as PyTorch, Tensor Flow, or Keras.
• Familiarity…