Talantix.io
GE Celma LTDA•22.02.26
AI SCORE 8.5

Applied AI Engineer Intern – Summer 2026 - Remote

$42K/year
RemoteAerospace TechnologyRelocation
Python•C•C++•SQL•Machine Learning•Computer Vision•AWS•Azure

About the Role

We are excited to announce an opening for an Applied AI Engineer Intern – Summer 2026 - Remote. This internship offers a unique opportunity to work at GE Aerospace, contributing to innovative engineering solutions in the field of AI and data. As an intern, you will develop technical solutions for engineers to evaluate AI and data solutions, gaining hands-on experience with cloud platforms and AI technologies.

What You'll Do

  • Consult on architecture and implement proof of concepts for AI solutions.
  • Work on real-world projects and ship solutions to production.
  • Collaborate across teams and build relationships within the company.
  • Participate in design thinking workshops to enhance your skills.
  • Receive mentorship from experienced engineers in the field.
  • Engage in innovative projects that contribute to the aerospace sector.
  • Explore the potential for return offers after the internship.

Requirements

  • Currently enrolled in a Bachelor’s degree program in Computer Science or a related field.
  • Minimum 3.7 GPA on a 4.0 scale.
  • No prior work experience required, but a strong academic performance in STEM disciplines is essential.
  • Experience designing AI solutions and distributed data systems.
  • Proficiency in programming with Python, C#, C++, and SQL.
  • Hands-on experience in Machine Learning or Computer Vision.
  • Experience with public cloud platforms such as AWS or Azure.
  • AWS or Azure certification is a plus.
  • A customer-centric mindset is highly valued.

Nice to Have

  • Experience in collaborative environments.
  • Familiarity with agile methodologies.
  • Interest in aerospace technology and innovation.

What We Offer

  • Competitive compensation starting at $20/hour, translating to approximately $41,600 annually.
  • Professional development opportunities to enhance your skills.
  • A challenging and rewarding work environment.
  • Real-world project ownership that makes a difference.
  • Access to mentorship from industry professionals.
  • Relocation assistance for those moving to a new city.
  • Commitment to being an Equal Opportunity Employer.
  • An innovative and collaborative company culture.
  • Opportunities for future employment after the internship.
  • Work in a leading aerospace technology organization.
Why This Job8.5 of 10

This internship at GE Aerospace offers a unique opportunity to gain hands-on experience in AI and data solutions while working remotely. With competitive pay and mentorship, it's a great start for aspiring engineers.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and C/C++ with a solid understanding of algorithms and data structures, enabling effective implementation of machine learning and computer vision algorithms.

→

Self-motivated and capable of managing time effectively in a remote work environment, demonstrating initiative in problem-solving and project ownership.

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Foundational knowledge in cloud computing platforms such as AWS and Azure, coupled with a strong interest in applying machine learning techniques to real-world data challenges.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning on Courseracourse
→Computer Vision Basics with OpenCVarticle

Career Path

Applied AI Engineer Intern – Summer 2026 - Remote(Now)→Junior Applied AI Engineer(1-2 years)→Applied AI Engineer(3-5 years)

Market Overview

Python Market Size 2024
$15B
Annual Growth
10.5%
AI Adoption in Enterprises
75%
Investment in AI Startups
+120%
Labour Demand for AI Engineers
+40%
Avg Salary for AI Engineer Intern
$80K

Skills & Requirements

Required
PythonCC++
Growing in Demand
TensorFlowPyTorchNatural Language Processing
Declining
MATLABR

Domain Trends

Increased Demand for AI in Healthcare
AI applications in healthcare are projected to grow by 40% by 2025, driving demand for skills in machine learning and computer vision.
Shift Towards Cloud-Native AI Solutions
Over 60% of companies are moving their AI workloads to cloud platforms like AWS and Azure, emphasizing the need for cloud integration skills.
Rise of Edge Computing in AI
The edge AI market is expected to grow by 30% annually, highlighting the importance of real-time data processing and computer vision capabilities.

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