Intern

Job Description SummaryWe are looking to grow our Software Controls and Optimization team at GE Aerospace Research & are looking for top notch researchers to be part of this exciting journey. As a group, we innovate and execute on the R&D strategy for GE Aerospace on a range of problems from designing inspections solutions for aircraft engines to building predictive/prescriptive analytics for a variety of applications that improve process efficiencies in the business.Job 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

Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.

Role Overview

We are looking for highly motivated people with proven track record to conduct research in natural language processing, artificial intelligence, and machine learning. As a Research Intern, you will be working with scientists in GE Aerospace Research to develop search and recommendation systems to improve the productivity of our Engineering teams. Your responsibilities will include developing and implementing algorithms to process Aerospace domain data for recommendation systems, design experiments, conduct thorough evaluations, and document your work (e.g., publications, invention disclosures). It will also include effectively communicating your findings with the appropriate stakeholders. You will encounter and have an opportunity to tackle unique challenges posed by the data and problems in the Aerospace domain including data quality, highly domain specific vocabulary, and how to integrate AI solutions into our safety critical and regulated workflows and processes.

Ideal candidate:

Should have experience in machine learning

Required Qualifications

• Enrolled in full-time Master’s or PhD Degree program in Computer Science, Electronics, Industrial, Electrical, Mechanical or related Engineering field with specialization in Natural Language Processing, Machine Learning, AI or Statistics.
• At least one year of experience in conducting independent research.
• Proficient in implementing algorithms, data pipelines and solutions in Python.
• Self-starter, ability to work in ambiguous environments, and excellent communication skills.

Desired Qualifications

• Enrolled in a PhD Degree program with at least three years of experience in conducting independent research.
• Previous experience in training, fine-tuning (including instruction-tuning), and deploying Large Language Models/ vision algorithms.
• Proven track record of publications at top AI conferences (or co-located workshops).
• Experience of working with problems and data from industrial domains (Aviation, Energy, Healthcare, Manufacturing, etc.).
• Strong foundations in design, analysis, and implementation of algorithms in different computing architectures.
• Humble: respectful, receptive, agile, eager to learn
• Transparent: shares critical information, speaks with candor, contributes constructively
• Focused: quick learner, strategically prioritizes work, committed
• Leadership ability: strong communicator, decision-maker, collaborative
• Problem solver: analytical-minded, challenges existing processes, critical thinker

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