GE Aerospace Logo

GE Aerospace

Artificial Intelligence Intern

Posted 5 Days Ago
Remote
Hiring Remotely in USA
Internship
Remote
Hiring Remotely in USA
Internship
Develop technical AI and data solutions for aerospace engineering applications. Responsibilities include designing architectures, building proof-of-concepts, coding and debugging applications, developing machine learning systems, presenting solutions to stakeholders, and shipping cloud-based products to production. The intern will gain experience with data engineering, cloud platforms, databases, web design, AI technologies, and numerical methods while collaborating across teams.
The summary above was generated by AI
Job Description SummaryJob Description

Company Overview:


Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!


Site Overview:

For over 40 years, GE Aerospace has had a significant presence on the ground in the United Arab Emirates. With offices in Abu Dhabi and Dubai Airport Freezone; an On Wing Support Center; partnership engineering, testing, and Maintenance, Repair, and Overhaul facilities across the country; and the Middle East Technology Center focused on solutions for the region’s hot & harsh environment. In addition to career opportunities, our sites offer a culture focused on respect for people and giving back to the community through grants and philanthropic programming.


Role Overview:

Are you ready to see your future take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.

At GE Aerospace Technology & Operations, our customers challenge us to tackle some of the world’s most complex engineering problems that require innovative approach using new technologies. Our engineers depend on software developers to bridge data, tools, and emerging technologies, like cloud and AI, to unlock new possibilities and shape the future of flight.


What You will Do

  • Develop technical solutions for engineers to evaluate and adopt data and AI solutions.
  • Consult on architecture, implement proof of concepts and deliver solutions for business strategic projects, including data science and machine learning systems
  • Build and present product architectures, write technical code, and demo applications to stakeholders.
  • Gain hands-on experience with the Innovator Method and turn customer insights into solution that deliver real business value
  • Sharpen your skills in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods
  • Use your strengths to support team members and build cross-functional relationships across the company.
  • Work to ship solutions to production that meet business needs and drive impact.

Our culture thrives on innovation, diversity, and deep collaboration. You’ll contribute as both a learner and a builder, helping us push the design frontier in aerospace.


Required Qualifications:

  • Graduate or pursuing a bachelor’s degree in computer science, Aerospace Engineering, Mechanical Engineering or a related field at an accredited university or credentialed software accelerator program.
  • Minimum 3.7 cumulative GPA off a 4.0 scale without rounding
  • Strong academic performance in Computer Science or other STEM disciplines
  • Experience designing AI solutions and architecting distributed data systems
  •  Proficiency in programming and debugging with Python, C#, C++, and SQL
  • Customer-centric mindset with ability to lead design thinking workshops
  • Hands-on experience in at least one of the following areas: Machine Learning, Large Language Models (LLMs), or Computer Vision
  • Experience building solutions using public cloud platforms such as AWS or Azure
  • Preferred but not required: AWS and/or Azure certification
  • No prior work experience required

About The Internship

  • Time: Winter (Full-time) and Spring (Part-time)
  • Location: Remote
  • Paid Internship
  • Travel Opportunities
  • Real-world project ownership
  • Mentorship from experienced engineers

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate. ​​

Additional Information

Relocation Assistance Provided: No

#LI-Remote - This is a remote position

Similar Jobs

11 Days Ago
In-Office or Remote
Internship
Internship
Cloud • Information Technology • Productivity • Security • Software • App development • Automation
Summer 2027 PhD research internship at Atlassian focused on AI research. The role supports distributed-first collaboration, with virtual interviews and flexibility to work remotely or from a company office.
3 Days Ago
In-Office or Remote
23-40 Hourly
Internship
23-40 Hourly
Internship
Information Technology • Security • Cybersecurity
AI/ML Engineering Intern supporting Parsons’ Digital Engineering Team with AI/ML application development, Python-based application development, deployment kits, and research and development across requirements management, modeling and simulation, testing, cybersecurity, and systems integration. The intern will learn the Parsons Digital Engineering Framework, participate in Agile ceremonies, and contribute to team projects and intern activities.
Top Skills: AgileAi/MlPython
3 Days Ago
Remote
MI, USA
27K-39K Hourly
Internship
27K-39K Hourly
Internship
Aerospace • Security • Cybersecurity • Industrial
AI and supply chain intern supporting machine learning applications for forecasting, optimization, and automation. Responsibilities include preprocessing supply chain data, developing or validating predictive models, engineering features, evaluating model performance against operational KPIs, and supporting data-driven decision-making. The intern will learn supply chain AI/ML fundamentals, responsible AI integration, and enterprise operational workflows while gaining experience in analytics, reporting, and cross-functional communication.
Top Skills: Ai/MlFeature EngineeringMS OfficePredictive Analytics

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account