HPE Labs - AI Research Lab Research Associate (Intern)

Hewlett Packard Enterprise•Fort Collins, CO

3d•Onsite

About The Position

HPE Labs - AI Research Lab Research Associate (Intern) This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: We are currently seeking highly qualified, self-motivated interns to accelerate research towards new applications, core methodologies and technologies in Artificial Intelligence at HPE Labs. HPE Labs is an international research organization with its headquarters and largest facility located in Milpitas, California. As the central research organization for Hewlett Packard Enterprise (HPE), HPE Labs' purpose is to deliver breakthrough technologies and technology advancements that provide a competitive advantage for the company, by investing in fundamental science and technology in areas of interest to HPE and getting the resulting technologies ready for adoption into new and existing markets. The Artificial Intelligence Research Lab focuses on researching and developing technologies, architectures and software to develop cutting edge solutions in key areas of Deep Learning and Machine Learning, including Reinforcement Learning and Natural Language Processing. This is a unique opportunity to work at a start-up pace within a big company. We are looking for an entrepreneurial mind-set, and a deep passion to take a ML problem and conduct research and come up with a solution with a fast turnaround time. You will have an opportunity to work with Machine Learning experts who have made multiple successful products and will get guidance and coaching in different areas including software engineering, hardware optimizations, data pipelining and innovations from latest AI research to bring hardened Deep Learning solutions to the real world. This is a growing team at HPE in which you will be building the software, and applications for Neural Networks 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 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 HPE 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.

Requirements

Pursuing 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.
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
Experience in Transformer Neural Network architectures for Generative AI and natural language processing
Experience with multi-threaded programming, parallel processing, OOD, OOP and distributed programming
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.
Accountability
Accountability
Action Planning
Active Learning
Active Listening
Bias
Business
Calendar Management
Coaching
Computer Literacy
Creativity
Critical Thinking
Design Thinking
Empathy
Follow-Through
Group Problem Solving
Growth Mindset
Intellectual Curiosity (Inactive)
Long Term Planning
Managing Ambiguity
Office Administration
Policy and procedures
Recordkeeping
Risk Assessment
Software Development

Nice To Haves

Experience with Agentic AI and Generative AI workflows - desired
Experience in system software, GPU acceleration, DL model execution and performance optimization - desired
Experience with AI for science use cases and hybrid AI/HPC workflows - a plus
Experience in Python Web Frameworks – Django, Flask - a plus

Benefits

Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

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