Machine Learning Engineering Intern at Crown Castle in Austin, Texas

Job Description:

Position Title: Machine Learning Engineering Intern

Company Summary

Crown Castle is the nation’s largest provider of shared communications infrastructure: towers, small cells and fiber. It all works together to meet unprecedented demand—connecting people and communities and transforming the way we do business. Whenever you make a call, track a workout or stream music and videos, we’re the ones providing the communications infrastructure that makes it all possible. From 5G and the internet of things to drones, autonomous vehicles and AR/VR, we enable the technologies that help people stay safe, connected and ready for the future. Crown Castle is publicly traded on the New York Stock Exchange (CCI), is part of the S&P 500 and is one of the largest Real Estate Investment Trusts in the US. 

Role

We are looking for a Machine Learning Engineering Intern to join our team and contribute to AI model development. Our team is a small, agile part of an innovations team that explores the business application of exciting new technologies.

This internship offers an opportunity to gain hands-on experience in applying machine learning to real world problems. You will improve the model architecture, training pipeline, model evaluation, and model deployment of our existing AI models.

Responsibilities

• Research and implement state-of-the-art techniques to improve the model architecture, training pipeline, model evaluation, and model deployment.


• Collaborate with the team to identify areas of potential business impact.


• Conduct experiments and analyze results to measure the impact of the implemented improvements.


• Document the methods used, findings, and improvements achieved throughout the internship.


• Present the progress and outcomes of the project to the team, showcasing the methods used and the achieved improvements.

Expectations 

• A constant example of modeling Crown’s Purple values


• Highly self-motivated and directed.


• Highly logical with keen attention to detail


• Ability to learn, understand, and apply new and/or unfamiliar technologies or concepts.


• Effective communication between teammates and manager.


• Strong written and verbal communication skills with an ability to present complex information in a clear and simple format.


• Collaborative work done in a way that balances educated decision making with measured speed of implementation.

Education/Certifications  

• Currently enrolled as a full-time student in pursuit of a Bachelor’s or Master’s degree from an accredited higher education institution with an expected graduation date between December 2024 and June 2026.


• Preferred field(s) of study: Computer Science, Data Science or related field.

Experience/Minimum Requirements  

•  Ability to work full-time (40 hours/week) from June 3 to August 9, 2024


•  Authorization to work in the U.S. on a full-time, regular basis without additional sponsorship


•  Ability to work independently and collaborate effectively in a team environment.


•  Comfortable with using a terminal for common Linux operations.


•  Experience using git/GitHub to implement open-source projects.


•  Interest in machine learning concepts and algorithms.


• Familiarity with model training, evaluation, and optimization techniques.
  
  

Reports to: Robotic Solutions Engineer

Work Plans: This role falls into our hybrid work model working in the office on Monday through Thursday.  On Fridays, teammates on the hybrid schedule will have the option to work from the office or home. 

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. 41 CFR 60-1.35(c)

Intern

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