Position:
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Data Science Research Intern, focused on Natural Language Processing (NLP), Artificial Intelligence (AI), and Machine Learning (ML)
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Contributing to advanced projects aimed at building AI-driven solutions that address aerospace-specific problems
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Opportunity to apply research expertise in search engines, recommendation systems, and predictive analytics
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Exposure to real-world engineering challenges with direct impact on GE Aerospace operations
Company:
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GE Aerospace, a global leader in aviation technology and innovation
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Provider of jet engines, integrated systems, and aircraft components for commercial and defense aviation
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Known for pioneering safety, sustainability, and innovation in the aerospace industry
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Operates multiple R&D centers, including the John F. Welch Technology Center (JFWTC) in Bengaluru
Location:
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Bengaluru, Karnataka, India
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Situated within GE’s JFWTC, a multidisciplinary engineering and research facility
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The site specializes in engine technologies, advanced materials, and additive manufacturing
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Offers a collaborative ecosystem for engineers, researchers, and scientists to work on cutting-edge aerospace solutions
Job type:
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Internship / Co-op position
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Research-focused, temporary engagement
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Designed for Master’s or PhD students in advanced stages of their academic program
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Includes training, mentoring, and hands-on participation in active GE Aerospace projects
Job mode:
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Onsite at GE Aerospace JFWTC in Bengaluru
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Provides access to laboratories, computing infrastructure, and senior researchers
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Encourages in-person collaboration for rapid learning and effective project execution
Job requisition id:
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R5017443
Years of experience:
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Targeted at students with 0 to 3 years of prior research experience (may be personal project experience)
Company Description
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GE Aerospace is one of the most trusted aviation companies globally, powering both commercial and military fleets
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The company is known for inventing the future of flight by developing high-performance jet engines, integrated systems, and mission-critical components
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Beyond technology, GE Aerospace is deeply committed to people and culture. Its core values emphasize respect, teamwork, and accountability
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The organization relies on its FLIGHT DECK lean operating model, a framework designed to drive continuous improvement and operational efficiency
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Employees are encouraged to bring their unique perspectives and creativity to solve complex engineering challenges
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At its Bengaluru center, GE Aerospace has been driving advancements since 2000, contributing significantly to aviation patents and breakthroughs
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From sustainable propulsion systems to advanced materials, GE Aerospace is shaping the next era of aviation
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Working here means more than a job. It is about pursuing passion, innovation, and purpose with a global impact
Profile Overview
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The role focuses on AI, machine learning, and NLP applications within aerospace engineering
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Research interns will develop algorithms to improve search and recommendation systems for GE’s engineering teams
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These systems will enable better information access, productivity enhancements, and decision-making for aerospace projects
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Key responsibilities include data preprocessing, algorithm design, model training, and evaluation for aviation-specific use cases
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Candidates will also be expected to publish findings in the form of invention disclosures or research papers
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The work requires balancing innovation with safety-critical regulations in the aviation sector
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Interns will collaborate with senior scientists and engineers to integrate LLM and NLP solutions into practical workflows
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The position offers a rare opportunity to apply academic knowledge to highly regulated, mission-critical environments
Qualifications
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Enrollment in a Master’s or PhD program in Computer Science, Electronics, Electrical, Mechanical, Industrial, or related disciplines
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Specialization in Natural Language Processing, Machine Learning, AI, or Statistics is strongly preferred
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Minimum one year of research experience in areas such as LLMs, entity extraction, or few-shot learning
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Proficiency in Python for developing algorithms, pipelines, and AI solutions
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Strong research aptitude, problem-solving mindset, and ability to work independently
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Effective communication and documentation skills to present findings clearly to stakeholders
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Desired: familiarity with industrial domains like Aviation, Healthcare, or Energy
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Desired: experience in optimization, detection algorithms, or data-driven decision-making
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Candidates pursuing PhDs with several years of research and publication experience are encouraged to apply
Additional Info
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Relocation assistance is provided for eligible candidates
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The position offers exposure to aerospace-grade datasets, which pose unique challenges such as specialized vocabulary and data quality considerations
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Interns will gain hands-on experience with regulated workflows where reliability and compliance are essential
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The role allows engagement with state-of-the-art computing architectures and opportunities to experiment with advanced AI techniques
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GE Aerospace promotes diversity and inclusion, ensuring a respectful and collaborative environment
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Interns are mentored by leading researchers with opportunities to co-author patents and papers
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The company encourages innovation, experimentation, and bold ideas within the safety framework of aviation
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This internship is not only a learning experience but also a potential gateway to future full-time opportunities with GE Aerospace
Please click here to apply.
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