This is an IT support group | AI Research Associate Intern

AI 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 diverse 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 and post-graduates to accelerate research towards new applications, core methodologies, and technologies in Artificial Intelligence at Hewlett Packard Labs.
Hewlett Packard Labs is an international research organization with its headquarters and largest facility located in California. As the central research organization for Hewlett Packard Enterprise (HPE), Hewlett Packard 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 mindset, and a deep passion to take an 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 the latest AI research to bring hardened Deep Learning solutions to the real world.
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-graduate, 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-graduates) 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.
Education and Experience
Pursuing or recently completed post-graduate 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.
Additional Skills:
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, Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Recordkeeping, Risk Assessment, Software Development.
What We Can Offer You:
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.
Diversity, Inclusion & Belonging
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know diverse 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.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture, and tech at HPE.
Job:
Administration
Job Level:
N/A
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT and Affirmative Action employer. We are committed to diversity and building a team that represents a variety of backgrounds, perspectives, and skills. We do not discriminate and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global diverse team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO F/M/Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
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