FAQs
What is the expected start date for the Machine Learning Engineer Intern position?
The expected start date for the Machine Learning Engineer Intern position is June 2025.
What educational background is required for this internship?
A Bachelor's or Master's degree in Data Science, Machine Learning, or a related technical field is required for this internship.
What programming languages should applicants be proficient in?
Applicants should have strong programming skills in Python, and knowledge of C++ is preferred.
What machine learning frameworks should candidates be familiar with?
Candidates should have strong experience with one or more of the following frameworks: Pytorch, Tensorflow, or Jax.
Are there specific areas of machine learning that the intern will focus on?
Yes, the intern will focus on areas such as data analysis, machine learning, astrodynamics, and physics modeling.
Are there any requirements related to U.S. export controls for this position?
Yes, to conform to U.S. Government export regulations, applicants must be U.S. citizens, lawful permanent residents, or eligible to obtain the required authorizations from the U.S. Department of State.
Is experience with cloud environments important for this internship?
Yes, experience working with machine learning in cloud environments such as AWS, GCP, or Azure is preferred.
Will there be opportunities to contribute to team discussions?
Yes, interns are expected to contribute to team discussions, providing insight and feedback to drive innovation across projects.
Are there any specific working hours or conditions that interns should be aware of?
Interns must be able to work extended hours and weekends as needed on rare occasions.
What are some of the preferred qualifications for this internship?
Preferred qualifications include strong programming skills in C++, experience with computer vision, uncertainty quantification, signal processing, computational physics, or time series analysis.