Aerospace AI Engineering Intern - Remote & Hands-on ML

Prattwhitney; New York (NY); Hybrid; USD 37,000 - 82,000; Part time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Flexible schedules

Job summary

RTX is offering an AI/ML Summer Internship designed to give students hands-on experience in designing, developing, and testing Python applications with ML, Generative AI, NLP, and computer vision techniques. You will work with engineers on data science, model development, and DevOps on cloud platforms while receiving mentorship and feedback.

You will gain exposure to real-world projects, present your work to AI teams and leadership, and build communication skills through collaborative learning

Qualifications

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

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, 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.

Skills

Python

AI concepts

Education

Bachelor's or Advanced degree in Information Systems, Computer Science, or related STEM

Job description

RTX is offering an AI/ML Summer Internship designed to give students hands-on experience in designing, developing, and testing Python applications with ML, Generative AI, NLP, and computer vision techniques. You will work with engineers on data science, model development, and DevOps on cloud platforms while receiving mentorship and feedback.

You will gain exposure to real-world projects, present your work to AI teams and leadership, and build communication skills through collaborative learning