AI Engineering Intern

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.

What You Will Do:

• 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.

What You Will Learn:

• 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.

Qualifications You Must Have:

• 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.

What We Offer

• 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.

This role 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.