Hewlett Packard Enterprise · 1 day ago
HPE Labs - AI and Machine Learning Engineer
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. They are seeking an AI and Machine Learning Engineer to engage in research and development of advanced technologies in Data-centric and Trustworthy AI, focusing on improving quality of AI workflows and managing AI pipelines.
Data CenterEnterprise SoftwareInformation TechnologyIT ManagementNetwork Security
Responsibilities
Research and development of advanced technologies in Data-centric and Trustworthy AI
Work on development of capture, management, search, enhancement and interpretation of meta-data and lineage for AI pipelines
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
Augmentation of AI models with structured knowledge (i.e., knowledge infused learning)
Balance significant technical contributions published externally in open source with hands-on engineering skills to bring such contributions to practice in partnership with internal software development teams and external partners
Qualification
Required
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
Preferred
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
Experience in deep learning research, GPU acceleration, and Model Optimization – a plus
Expertise in research of data and workflow management systems – a plus
Experience in system software performance and scalability optimization – a plus
Experience with multi-threaded programming, parallel processing, OOD/OOP/distributed programming – a plus
Experience in containerized development and orchestration tools (e.g. Kubernetes, Ezmeral) – a plus
Experience with hybrid AI-HPC workflows (e.g., AI surrogate modeling, computational steering of experiments) – a plus
Benefits
Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion
Company
Hewlett Packard Enterprise
Hewlett Packard Enterprise is an edge-to-cloud company that uses comprehensive solutions to accelerate business outcomes.
H1B Sponsorship
Hewlett Packard Enterprise has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (532)
2024 (585)
2023 (591)
2022 (523)
2021 (551)
2020 (398)
Funding
Current Stage
Public CompanyTotal Funding
$2.85BKey Investors
Elliott Management Corp.
2025-04-15Post Ipo Equity· $1.5B
2024-09-10Post Ipo Equity· $1.35B
2015-11-02IPO
Leadership Team
Recent News
The Register
2026-01-06
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