GE Aerospace · 5 hours ago
GE Aerospace Research - Knowledge Discovery & High Assurance Systems Fellow Intern
Niskayuna
Internship
Onsite
Intern
$1,000/wk - $2,000/wkGE Aerospace is seeking PhD student interns to advance research and prototyping in AI capabilities for the aerospace industry. The role involves contributing to multimodal reasoning and building prototypes that combine various data types to deliver impactful results.
AerospaceCommercialManufacturing
No H1B
U.S. Citizen Only
Responsibilities
Design, implement, and evaluate LLM/NLP/VLM models (pretraining, fine-tuning, instruction tuning as appropriate)
Develop and integrate knowledge graphs for reasoning, validation, and explainability (entity/relation extraction, ontology alignment, graph embeddings)
Build retrieval-augmented and tool-augmented systems (RAG, function/tool calling, agents) with robust evaluation
Create data pipelines for multimodal datasets (curation, augmentation, labeling) and enforce data quality standards
Implement benchmarking and evaluation frameworks (task metrics, bias/robustness checks, human-in-the-loop reviews)
Develop interactive demos and internal tools using modern web stacks (React, Node.js) to showcase capabilities
Write clean, well-tested code; document methods and results; contribute to publications, tech reports, and research artifacts
Qualification
Required
Currently enrollment in a PhD program in Computer Science, Electrical Engineering, AI/ML, or related field
Permanent legal authorization to work in the US is required. This role is restricted to U.S. persons. GE will require proof of status prior to employment
Must be willing to work from the GE Aerospace Research office in Niskayuna, NY
Minimum GPA 3.0 / 4.0 scale
Preferred
Research experience in at least one of: LLMs, NLP, vision-language/multimodal learning, or knowledge graphs
Strong programming skills in Python and JavaScript
Hands-on experience with modern AI/ML frameworks and tooling: PyTorch, TensorFlow/JAX, Hugging Face ecosystem (Transformers, Datasets, PEFT), OpenAI/Anthropic/Vertex AI SDKs
Vector databases and retrieval tooling, LangChain/LlamaIndex
Data and experiment, Docker, Git
Front-end and back-end development skills: React and Node.js
Solid understanding of ML fundamentals: optimization, evaluation metrics, overfitting/regularization, data leakage prevention
Publications or preprints in top venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV)
Experience with: Multimodal fusion and grounding; VLMs (e.g., LLaVA)
Knowledge graph construction and query (RDF/OWL, SPARQL, Neo4j), graph learning (PyG, DGL)
Prompt engineering, function/tool use, and agentic workflows
RAG evaluation (faithfulness, grounding, hallucination detection) and safety alignment
MLOps for research: reproducible pipelines, CI/CD, containerization
Familiarity with security, privacy, and compliance considerations for AI systems
Benefits
Travel reimbursement
Housing stipend
Great work environment
Professional development
Challenging careers
Competitive compensation
Relocation Assistance Provided
Company
GE Aerospace
GE Aerospace is a provider of jet and turboprop engines, as well as integrated systems.
Founded in 1892
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$2.01BKey Investors
JobsOhioUS Department of EnergyAir Force Research Laboratory
2025-07-22Post Ipo Debt· $2B
2025-01-10Grant· $9M
2024-04-02IPO
Leadership Team
Amy Gowder
President and CEO Defense and Systems
H. Lawrence Culp
Chairman & CEO, GE Aerospace
Recent News
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2026-01-23
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