GE Aerospace (NYSE: GE) is a global leader in aerospace propulsion, services, and integrated systems. Currently, it has approximately 44,000 in-service commercial aircraft engines worldwide. With a century-long history of innovation and profound industry expertise, GE Aerospace is committed to inventing the future of flight, lifting people up, and bringing them home safely.
Site Overview
For 45 years in China, GE Aerospace has committed to developing and investing in China’s aviation industry with reliable, efficient, sustainable, and outstanding products and services. GE Aerospace and its joint venture CFM have served more than 60 airline customers in the Greater China Region, with over 7700 engines in service and nearly 5000 engines on order. We are devoted to the market’s quality growth propelled by technological innovation and digitalization. Together with our partners, we are shaping a sustainable future of flight that helps the industry reach its carbon-neutral goal for the benefit of us all tomorrow.
Role Overview
You will be at the forefront of developing analytics to support GE’s Industrial Internet Solutions in the Aviation business. Participate in Aviation industry big data processing, modeling and algorithm development to drive insight of operation efficiency, maintenance cost, services and asset optimization. Specifically, you will join the technical pod of computer vision and use machine learning algorithms to tackle aviation problems.
The Ideal Candidate
- Work with the project team to analyze the dataset for business insights.
- Apply computer vision algorithms to process image dataset
- Apply machine learning and deep learning algorithms to develop the model
- Deliver the solution to the customer
- Proactively share information across the team
Required Qualifications
- Major in Computer Science, Mathematics, Applied Statistics, or relevant subjects
- Familiar with the Python program and related big data packages
- Computer vision experience is a plus
- Deep learning experience is NOT required, but will be a plus
- Strong motivation for learning new technology
- Good rational ability, communication, inter-personal skills
- Great passion in big data, machine learning, and AI
Preferred Qualifications
- Strong analytical, structural and conceptual thinking capabilities
- Good interpersonal acumen and maturity
- Creative and risk taking
- Willing to take challenge and hard working
- Eager to build-up a global career and be highly mobile
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 InformationRelocation Assistance Provided: No
Skills Required
- Major in Computer Science, Mathematics, Applied Statistics, or relevant subjects
- Familiar with Python program and related big data packages
- Computer vision experience
- Deep learning experience
GE Aerospace Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GE Aerospace and has not been reviewed or approved by GE Aerospace.
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Healthcare Strength — Health coverage spans medical, dental, vision, prescription drugs, behavioral health support, and some on‑site healthcare options. Wellbeing programs emphasize physical, emotional, and social support and are often characterized as part of a top‑notch package.
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Retirement Support — Retirement programs include a 401(k) with company contributions, long‑term financial planning tools, and vesting provisions. Legacy pension benefits remain for eligible employees despite the plan being frozen.
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Leave & Time Off Breadth — Time‑off offerings include paid vacation, holidays, sick time, personal days, and flexible work arrangements, with permissive PTO noted for some salaried roles. Family support includes generous parental leave and adoption assistance.
GE Aerospace Insights
What We Do
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