✦ Luna Orbit — AI & Machine Learning

AI Data Foundation Research Engineer

at Hewlett Packard Enterprise

Hybrid Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education PhD in Computer Science or related fields
Category AI & Machine Learning

This role focuses on research and development of advanced AI models and pipelines, emphasizing trustworthy, reproducible, and multi-modal AI workflows at Hewlett Packard Enterprise.

  • Develop AI methods
  • Work on multi-modal data pipelines
  • Advance foundation AI models
  • Manage meta-data and lineage
  • Research in generative AI

The position involves expertise in AI/ML, deep learning, NLP, large language models, data pipelines, and AI research, with a focus on innovation and practical deployment.

The ideal candidate is a seasoned AI researcher with a PhD, specializing in generative AI, deep learning, and large language models, with proven experience in developing scalable AI pipelines and research.

PhD in Computer Science or related fields3+ years industry experience in AI/MLResearch experience in Generative AIDeep LearningExperience with AI model architectures like LLMsDiffusion ModelsEnd-to-end pipelines for AI and Machine Learning
Knowledge of data pipelines (DVCPachyderm)Experience with AI workflows and reproducibility
DVCPachyderm
Artificial IntelligenceData ScienceMachine LearningDeep LearningNLPLLMTime SeriesComputer VisionGenerative AIData Management
Artificial IntelligenceData ScienceMachine LearningDeep LearningNatural Language ProcessingLarge Language ModelsTime Series AnalysisComputer VisionGenerative AIData ManagementBig Data PipelinesResearchModel DevelopmentReproducibility
ResearchInnovationCollaborationProblem-solvingCommunication
Industry Technology
Job Function Research and development of AI models and pipelines for advanced AI applications
Artificial IntelligenceData ScienceMachine LearningDeep LearningNatural Language ProcessingLarge Language ModelsTime Series AnalysisComputer VisionGenerative AIData ManagementBig Data PipelinesResearchModel DevelopmentReproducibilityNLPLLMTime SeriesData Pipelines

Lack of PhD or relevant research experience, No experience with LLMs or diffusion models, Unwillingness to work in a hybrid environment

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