AI Engineering Intern (Summer 2027)

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OtherAi Engineering Intern

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Quick Summary

Key Responsibilities

Collaborate with skilled engineers to design, develop, and test Python applications utilizing advanced techniques such as Machine Learning, Generative AI, Natural Language Processing, Computer Vision,

Requirements Summary

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.

Technical Tools

OtherAi Engineering Intern

2026-10-08

United States of America

US-NY-REMOTE

Remote

Requirements

~1 min read

This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of “U.S. Person” go here. https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62

Must be pursuing Bachelor's or Advanced degree in Information Systems, Computer Science, or related Science, Technology, Engineering, or Mathematics (STEM) major and actively enrolled through the completion of the internship/co-op session.
Experience with Python.
Experience with AI concepts, tools, and methodologies.

Experience may be obtained through on‑the‑job experience, research, coursework, or projects.

None/Not Required

Not Required

Are you ready to explore the world of aerospace and defense? Do you want to learn from and collaborate with some of the greatest minds in the industry? At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on complex problems, advance your skills and create a safer, more connected world. Discover opportunities to make a difference at RTX.

Are you a curious and motivated student eager to delve into the exciting world of Artificial Intelligence and Machine Learning? If you're looking to gain hands-on experience and learn from industry experts, our AI/ML Summer Internship offers you the opportunity to immerse yourself in groundbreaking projects that are shaping the future.

Responsibilities

~1 min read

→Collaborate with skilled engineers to design, develop, and test Python applications utilizing advanced techniques such as Machine Learning, Generative AI, Natural Language Processing, Computer Vision, Simulation, XR/VR, and more.
→Gain hands-on experience with Data Science, Model Development & Experimentation, Applied Machine Learning, MLOps, DevOps and Cloud Platforms.
→Participate in code reviews and demos to provide and receive constructive feedback.
→Assist in troubleshooting, debugging, and optimizing software applications.
→Contribute ideas and solutions in team discussions and brainstorming sessions.

→Gain valuable experience working on real-world projects under the guidance of seasoned professionals.
→Enhance your technical skills through hands-on coding and exposure to various technologies.
→Networking opportunities with industry experts and fellow interns.
→Opportunity to contribute innovative ideas and make a tangible impact on projects.
→Present your projects to AI team members and leadership, strengthening your communication skills.

What We Offer

~1 min read

✓Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation.

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:

Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

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 Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Click on this link to read the Policy and Terms