Machine Learning Co-Op- Winter/Spring

Apply now »

Date: Nov 27, 2024

Location: Irvine, CA, US

Company: Skyworks

 

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 value open communication, mutual trust, and respect. 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: 74306 

Job Description

This is a Winter/Spring Co-Op position from January to June 2025, based out of our Irvine, CA location.

The candidate will participate in the key activities in the technology development of piezoelectric bulk acoustic resonators (BAW). It is a cross-functional role in a collaborative engineering team and the candidates will have the opportunity to work with modeling, design, process, testing and layout engineers.

Job Responsibilities:

  • Develop and apply AI/ML algorithms to technical challenges relevant to acoustic devices
  • Process, cleanse, and validate the integrity of data to be used for further data analysis, modeling, and experimentation
  • Collaborate with cross-functional teams to provide technical guidance in machine learning solutions

Requirements:

  • Current student pursuing a Master or PhD in engineering
  • Must have the availability to work full-time

Preferred Skills:

  • Experience in collecting, analyzing and interpreting scientific data
  • Experience with ML framework, such as PyTorch and TensorFlow
  • Experience with deep learning models, such as CNNs, GNNs, Transformers, RNNs
  • Experience with generative models, such as VAEs, GANs and Diffusion model
  • Capability to build a scalable and autonomous system for defining datasets, training models, and model evaluation\

#LI-KJ1

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.


Nearest Major Market: Irvine California
Nearest Secondary Market: Los Angeles
Job Segment: Network, Telecom, Telecommunications, Engineer, Learning, Technology, Engineering, Human Resources