AI/ML Data Engineering Intern (Summer 2025)

Date Posted:2024-07-30

Country:United States of America

Location:

HWI99: Field Office - WI Remote Location, Remote City, WI, 53558 USA

Position Role Type:

Remote

Step into the future with our Artificial Intelligence team at the Digital Technology (DT) central function, where you'll be at the forefront of machine learning and AI-driven services. As an AI Data Engineering Intern, you'll work alongside other engineers and end users to unlock hidden insights and drive the adoption of emerging technologies. You'll be instrumental in scaling our machine learning capabilities across the enterprise, developing and supporting innovative AI applications that revolutionize how we interact with algorithms. Join us to transform not just our business, but the entire landscape of digital technology, with cutting-edge solutions that offer a competitive edge and solve real-world problems. Get ready to help Redefine Aerospace with AI!

What You Will Do:

• Stakeholders include a team of engineers and data scientists. Enable the team with data acquisition, performance tuning and data processing.
• Builds data pipelines focusing on data ingestion, integration, modeling, optimization, and quality for AI processing. Architects and launches new data models (marts, lakes, stores, hubs). Optimizes costs, storage, processing, and access to integrated data.
• Explores data for pattern detection prior to algorithm development. Prepares and pre-processes data utilized in algorithms. Ensures data is formatted and cleansed for AI processing.
• Designs and develops data services for AI. Provides data to the team and enterprise toward the end goal of adopting AI.

What You Will Learn:

• You will utilize and learn core AI/ML Data engineering principles
• Communicating design and solutions to stakeholders
• Building and deploying solutions in an Agile team

Qualifications You Must Have:

• Requires a High School Diploma or equivalent and student must be pursuing a Bachelor’s or advanced degree in an applicable discipline.
• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract

Qualifications We Prefer:

• Hands-on knowledge building and operating AI/ML platforms.
• Knowledge in environments that use data to support artificial intelligence and/or machine learning is desired.
• Proficiency in tools used to manage data throughout its lifecycle, especially tools that are applicable to large, complex, and distributed organizations.
• Show an understanding of cloud-based (e.g., AWS, Azure) technology for developing data solutions. Includes automation, continuous integration, and continuous deployment (Git, Docker, Jenkins).

Learn More and Apply Now!

Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.

Collins Aerospace, a RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.

Collins Aerospace Diversity & Inclusion Statement:

Diversity drives innovation; inclusion drives success. We believe a multitude of approaches and ideas enable us to deliver the best results for our workforce, workplace, and customers. We are committed to fostering a culture where all employees can share their passions and ideas so we can tackle the toughest challenges in our industry and pave new paths to limitless possibility.

WE ARE REDEFINING AEROSPACE.

This position is eligible for relocation.

* Please consider the following role type definitions as you apply for this role.

Remote: Employees who are working in Remote roles will work primarily offsite (from home). An employee may be expected to travel to the site location as needed. (*Position is remote; however, if you live within a reasonable commute of a Collins site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.)

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.

Apply now and be part of the team that’s redefining aerospace, every day.

The salary range for this role is 37,000 USD - 82,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate’s work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company’s performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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