HPE Labs - Machine Learning Research Associate (Intern) at Hewlett Packard Enterprise

Milpitas, California, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, Artificial Intelligence, ResearchIndustries

Requirements

Pursuing a Ph.D. degree (with significant research and innovation experience) in a relevant discipline (e.g., machine learning, computer science, electrical engineering, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning
Experience in deep learning, LLM, Agentic AI, and reinforcement learning research

Responsibilities

Work on cutting-edge machine learning research focusing on Large Language Models, Agentic AI, and Reinforcement Learning
Bring significant innovations in the trustworthiness of AI, digital twins, sustainability, complex scientific applications like nuclear fusion, clean energy, and other domains
Provide thought leadership and technical influence both internally and externally to HPE
Contribute along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer
Collaborate with external research institutes, National Laboratories, NIST (AISIC), and universities
Publish in top AI conferences and workshops (e.g., NeurIPS, AAAI, ICML)

Skills

Machine Learning

Large Language Models

Agentic AI

Reinforcement Learning

AI Trustworthiness

Digital Twins

Nuclear Fusion

Clean Energy

Hewlett Packard Enterprise

Provides enterprise IT solutions and services

About Hewlett Packard Enterprise

Hewlett Packard Enterprise provides enterprise IT solutions with a focus on cloud services, artificial intelligence, and edge computing. Their products include HPE Ezmeral for managing containers, HPE GreenLake for cloud services, and HPE Aruba for networking. These solutions help businesses improve their performance and adapt to digital changes. HPE's business model includes selling hardware, software, and services, as well as offering subscription-based services and long-term contracts. What sets HPE apart from competitors is its commitment to open-source projects and its active developer community, which supports collaboration and innovation. The company's goal is to empower organizations to transform digitally and optimize their operations.

Houston, TexasHeadquarters

1939Year Founded

IPOCompany Stage

Hardware, Enterprise Software, AI & Machine LearningIndustries

10,001+Employees

Risks

Integration challenges with Juniper Networks may delay AI-driven networking benefits.

Competition from startups like Flywheel could impact HPE's AI and cloud services.

HPE's acquisition strategy may strain resources and distract from core operations.

Differentiation

HPE's GreenLake offers a unique hybrid cloud platform for diverse IT environments.

HPE Ezmeral provides advanced container management, enhancing enterprise AI and analytics capabilities.

HPE's Aruba solutions integrate cloud security and networking for seamless, secure connectivity.

Upsides

HPE's acquisition of Juniper Networks boosts AI-driven innovation in networking.

OpsRamp acquisition enhances HPE's IT management with AI-based automation capabilities.

Axis Security integration strengthens HPE's cloud security offerings with SASE solutions.

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