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Internship -Machine Learning Systems

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    IT & Cybersecurity
  • Irvine

AI generated summary

  • You need Python, Java, and C skills; experience with Pytorch, Tensorflow, AWS, Git, Docker, and Shell scripting; semiconductor knowledge; a 3.5+ GPA; and good collaboration skills, enrolled in EE program.
  • You will research and develop machine learning models, collaborate with teams on technical solutions, and create data processing pipelines using TensorFlow/PyTorch for model training.

Requirements

  • Programming Languages : Python, Java, C experience
  • Tools/frameworks: Pytorch, Tensorflow, AWS, Git, Docker, Shell scripting experience
  • Enrolled in a Bachelor's or Masters EE Program
  • Available to intern 3-6 Months
  • Good collaboration skills
  • Have semiconductor experience
  • Have a high GPA 3.5 or higher

Responsibilities

  • Research and develop machine learning models from inception to deployment.
  • Work collaboratively with teams to transform business needs into robust technical solutions/demonstrators.
  • Create framework for data capture/processing and develop efficient data processing pipeline to train machine learning models in Tensorflow/ Pytorch.

FAQs

What is the duration of the internship?

The internship lasts for a period of 3 to 6 months.

What programming languages should I be familiar with for this internship?

You should have experience in Python, Java, and C.

Which machine learning frameworks are preferred for this role?

Experience with TensorFlow and PyTorch is preferred for this role.

Is semiconductor experience required for the internship?

Yes, having semiconductor experience is a requirement for the internship.

What educational background is necessary to apply for this internship?

You must be enrolled in a Bachelor's or Master's EE (Electrical Engineering) program.

What are the expectations for collaboration skills?

Good collaboration skills are necessary as you will be working with teams to transform business needs into technical solutions.

Is there a minimum GPA requirement for applicants?

Yes, a high GPA of 3.5 or higher is required to apply for this internship.

What type of tasks will I be involved in during the internship?

You will research and develop machine learning models, work collaboratively with teams, and create a framework for data capture and processing.

How can I apply for this internship?

You can apply by submitting your resume through the application process specified by Infineon.

Are there any diversity and inclusion policies at the company?

Yes, Infineon embraces diversity and inclusion, and welcomes applicants for who they are, providing equal opportunities to all.

Is this a paid internship?

The job posting does not specify whether the internship is paid or unpaid.

What tools or technologies should I be familiar with apart from programming languages?

You should have experience with AWS, Git, Docker, and shell scripting, in addition to machine learning frameworks.

Are there any prerequisites concerning legal work status?

Yes, employment at Infineon is contingent upon proof of your legal right to work in the United States.

Will I receive training or support during the internship?

The job description indicates that you will be part of a collaborative environment, which typically includes support and training opportunities.

Are there any specific conditions that could affect my employment offer?

Yes, the offer is contingent upon verification of satisfactory references, successful completion of a background check, drug test, and completion of onboarding documents.

What kind of projects can I expect to work on related to machine learning?

You will be involved in projects that include developing machine learning models from inception to deployment, as well as creating data processing pipelines.

Manufacturing & Electronics
Industry
10,001+
Employees
1999
Founded Year

Mission & Purpose

Semiconductors are crucial to solve the energy challenges of our time and shape the digital transformation. This is why Infineon is committed to actively driving decarbonization and digitalization. As a global semiconductor leader in power systems and IoT, we enable game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. We make life easier, safer, and greener. Together with our customers and partners. For a better tomorrow. With a unique team, employees from more than 90 countries make Infineon a successful international company – with their skills, their enthusiasm and the courage to challenge the status quo and open up new horizons. Since the semiconductor was invented, we have helped shape the future – every single day.