FAQs
What is the hourly rate for this internship position?
The hourly rate for this position is $41.54 per hour.
What qualifications are required for this internship?
Candidates must be currently enrolled in or have received a PhD Degree in an Engineering discipline with a special focus in Reinforcement Learning, have a minimum cumulative GPA of 3.2, be flexible to relocate within the United States, and be legally authorized to work in the United States without company sponsorship.
Is prior experience necessary for this internship?
While not mandatory, preferred qualifications include at least 1 year of experience and a minimum cumulative GPA of 3.5.
What kind of skills are desired for this internship?
Desired skills include hands-on experience in developing reinforcement learning-based adaptive controls, proficiency in Python for machine learning models, knowledge of machine and deep learning concepts, simulation with tools such as Matlab or Simulink, and experience with frameworks like PyTorch and TensorFlow.
Will interns have the opportunity to present their ideas?
Yes, a key role will involve supporting the presentation of ideas and projects to Eaton business leaders.
Where will this internship take place?
The internship is located in Southfield, MI and Menomonee Falls, WI.
Can international students apply for this internship?
Applicants must be legally authorized to work in the United States without company sponsorship, which generally excludes international candidates on student visas.
Are there benefits provided during the internship?
While specific benefits for interns are not detailed in the job description, Eaton typically offers various health and welfare benefits as well as retirement benefits to employees.
Will accommodations be provided during the application process?
Yes, you can request a disability-related reasonable accommodation by calling 1-800-836-6345 to discuss your specific needs.
What types of projects will interns work on?
Interns will support emerging power conversion and power system solutions based on advanced control technologies for various applications including industrial, automotive, truck, and aerospace.