GE Aerospace

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Job Description Summary Job Description The Knowledge Discovery & High Assurance Systems organization is seeking PhD student interns to advance research and prototyping at the intersection of large language models (LLMs), natural language processing (NLP), vision-language models (VLMs), and knowledge graphs. Interns will help design, implement, and evaluate models and systems that combine unstructured text, visual data, and structured knowledge to deliver trustworthy, high-impact AI capabilities for the aerospace industry. Role Overview Contribute to research on multimodal reasoning, retrieval-augmented generation, and grounding LLMs with knowledge graphs Build end-to-end prototypes: data pipelines, model training/fine-tuning, evaluation, and front-end demos Collaborate with researchers and engineers to translate research into production-ready components Key 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 Required Qualifications 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 Desired Characteristics 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 Success Indicators: Demonstrated improvement on benchmark tasks High-quality prototypes and demos Clear, reproducible research artifacts (papers, code, datasets, and documentation) Effective collaboration and communication across research and engineering The pay range for this position is $1,000-$2,000 USD weekly. The specific weekly rate offered to a candidate may be influenced by a variety of factors including the candidate’s experience, their education, and the work location. GE provides travel reimbursement and housing stipend for qualified interns. GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes At GE Aerospace, we invent the future of flight, lift people up, and bring them home safely. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. At GE Aerospace, respect for people is core to our culture and commitment to FLIGHT DECK, our proprietary lean operating model. We attract, develop, and retain industry-leading talent from all backgrounds and cultivate communities where people are respected and empowered to reach their fullest potential. For the people of GE Aerospace, their work isn't just a job. It's their passion and purpose. We work and win as one team, accountable to each other and our customers, and we are always finding a better way to climb higher together. We were meant to fly.