Hewlett Packard Labs - AI Data Foundation Intern

Hewlett Packard Enterprise

Dec 17, 2023

Applications are closed

Internship
Full-time
Off-cycle Internship
Software Engineering
San Francisco

Requirements

Pursuing or recently completed PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, math, statistics, etc.)
Track record of world-class innovative contributions and ideas in machine learning.
Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer.
Technical Skills:
Experience in deep learning research
Experience in developing deep learning software with high proficiency in data structures and algorithms.
Strong programming skills and experience with Python, C/C++, and preferably Java
Software development experience in Deep Learning, GPU acceleration, and Model Optimization.
Experience in Deep Learning and Machine Learning frameworks and models like Tensorflow, PyTorch - required
Experience in system software, GPU acceleration, DL model execution and performance optimization - desired
Experience in Neural Network architectures for Reinforcement Learning and natural language processing - desired
Experience with multi-threaded programming, parallel processing, OOD, OOP and distributed programming
Experience in Python Web Frameworks – Django, Flask - a plus
Self-motivated, pro-active, with leadership qualities
Ability to work with ambiguity
Demonstrated effective communication and collaboration skills
Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier conferences or journals.

Responsibilities

This is a new and growing team at HPE in which you will be building the software, and applications for Neural Network and Machine Learning. It will also involve working with system programming, Deep Learning frameworks and models, GPU acceleration, Model optimization, real-time streaming data, distributed computing, and deployment.
We are seeking highly qualified candidates to come join one of our research teams as an intern or a post-doc, with the possibility of longer-term co-innovation and collaboration. We are particularly interested in individuals with a background in computer systems, machine learning, deep learning, and statistics, with a good understanding of the current state of the art, major trends and opportunities, and a demonstrated track record in making things real in innovative ways. The ideal candidate combines this interest with a broad, entrepreneurial interest in creating the next generation of HPE’s products and technologies.
We expect all our researchers (including interns and post-docs) to provide thought leadership and technical influence both internally and externally to HPE, as well as take innovative ideas and make them real – contributing along the full range from initial novel ideas to design, development, implementation, evaluation, and technology transfer. The ideal candidate can thrive in an applied research environment, balancing significant technical and scientific contributions with the ability to bring such contributions to practice through innovative solutions that address the needs of our customers and partners. We expect the successful candidate to collaborate with Hewlett Packard Labs research teams as well as with external partners, and to work in alignment with HPE's broader innovation community. Excellent software systems building skills are a significant plus.

Hewlett Packard Enterprise

Information Technology & Services

Technology

Industry

10,001+

Employees

1939

Founded Year

Mission & Purpose

HPE (Hewlett Packard Enterprise) is a global technology company that provides a comprehensive range of IT solutions and services. They offer hardware, software, and hybrid IT infrastructure solutions, including servers, storage systems, networking equipment, and cloud computing services. HPE's ultimate mission is to help their clients thrive in the digital age by providing transformative technology solutions that drive innovation, enhance productivity, and enable business growth. Their purpose is to empower organisations to harness the power of technology and data to solve complex challenges, optimise their IT infrastructure, and accelerate their digital transformation. HPE strives to be a trusted partner, delivering cutting-edge technology and expertise that enables their clients to adapt, innovate, and stay ahead in an ever-changing and competitive marketplace.