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Hewlett Packard Enterprise Logo Hewlett Packard Enterprise · IT - Software Development

AI and Machine Learning Engineer

United States, Andover 136500.00 - 260500.00 USD / Year · Job Posted January 07, 2026
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Job Description

HPE Labs - AI and Machine Learning Engineer. This role has been designed as ‘Hybrid’ with an expectation that you will work on average 2 days per week from an HPE office. We are seeking candidates interested in research and development of advanced technologies in Data-centric and Trustworthy AI. The ideal candidate can thrive in an applied research environment, balancing significant technical contributions published externally in open source with the hands-on engineering skill to bring such contributions to practice in partnering with our internal software development teams and external partners.

Job Responsibility

  • Research and development of advanced technologies in Data-centric and Trustworthy AI, including data and knowledge context retrieval, filtering, prioritization, generative AI model materialization, advanced reasoning and validation, to improve quality of AI agentic workflows
  • Development of capture, management, search, enhancement and interpretation of meta-data and lineage for AI pipelines that enable reproducibility, reuse and optimization of pipelines
  • Discovery, selection and usage of relevant high quality data for trustworthy AI outcomes across multiple AI applications
  • Development, evaluation and testing of Foundation AI models for different modalities: Natural Language Processing - NLP, Large Language Models - LLM, Time Series Analysis, Computer Vision, AI for Science, etc., and augmentation of AI models with structured knowledge (i.e., knowledge infused learning)

Requirements

  • PhD in Computer Science or related fields with a focus on data engineering and data science, in particular Machine Learning, Deep Learning, and/or data management for AI
  • Familiarity with AI, Machine Learning and Deep Learning algorithms
  • Experience with Generative AI: Large Language Models, Time Series Foundation Models, Diffusion Models, etc.
  • Expertise with end-to-end pipelines for AI and Machine Learning and in particular the data layer underlying the pipelines (e.g., DVC, Pachyderm, Common Metadata Framework)
  • Experience in AI model development lifecycle, ML/deep learning frameworks and MLOps platforms (e.g. Pytorch/Tensorflow, MLFlow, Kubeflow)
  • Experience with agentic AI platforms (e.g., LangGraph, CrewAI, ADK, etc.)
  • Strong programming skills in Python, C/C++, with high proficiency in data structures and algorithms
  • Experience with CI/CD code development
  • Outstanding analytical and problem solving skills

Nice to have

  • Experience in deep learning research, GPU acceleration, and Model Optimization
  • Expertise in research of data and workflow management systems
  • Experience in system software performance and scalability optimization
  • Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming
  • Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral)
  • Experience with hybrid AI-HPC workflows (e.g., AI surrogate modeling, computational steering of experiments)

What we offer

  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
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