Hewlett Packard Enterprise Company Hewlett Packard Labs - Deep Learning Research Scientist in Milpitas, California
Hewlett Packard Labs - Deep Learning Research Scientist Milpitas, California
What you need to know about the job
At Hewlett Packard Enterprise, we bring together the brightest minds to create breakthrough technology solutions that advance the way people live and work. What sets us apart? Our people and our relentless dedication to helping our customers make their mark on the world.
We are a team of doers, dreamers and visionaries; inspired by our purpose and driven by our strategy. We live by our three values: partner, innovate and act.
Our legacy inspires us as we forge ahead, always pushing to discover what’s next. Every day is a new opportunity to advance and grow ourselves, our company and the industry. Some people call it an obsession, we call it a way of life.
What you need to know about the job
Primary Location:Milpitas, California
Shift:No shift premium (United States of America)
Machine Learning Research Scientist at Hewlett Packard Labs for developing Reinforcement Learning, Trustworthy AI, and Auto ML solutions and IP for the Silicon Valley location. Early career PhDs in machine learning encouraged to apply.
Hewlett Packard Enterprise advances the way people live and work. We bring together the brightest minds to create breakthrough technology solutions, helping our customers make their mark on the world.
HPE Labs are committed to research in emerging areas of Artificial Intelligence and the fast and seamless integration of advanced Hybrid IT and IoT solutions for our customers.
The AI Research Lab @ Hewlett Packard Labs, in the San Francisco Bay Area, focuses on research, solutions and IP development on Reinforcement Learning, Trustworthy AI and Auto ML model synthesis at supercomputer scale. Research and development incl udes artificial intelligence applications and core technologies in the areas of Trustworthy AI, Reinforcement Learning, Auto ML, and other emerging areas of machine learning which are of strategic interest to HPE. This will include technologies and tools for analysis, synthesis, and measurement for trustworthy AI for emerging areas of machine learning. This involves innovation, design, development, implementation, evaluation, and technology transfer. You will provide thought leadership and technical influence both internally and externally to HPE, and collaboration across organizations and external partners.
The work will involve research, software development, hardware optimizations, data pipelining, and innovations to implement robust AI solutions for real world use cases. It will also involve working with systems programming, deep learning frameworks and models, GPU acceleration, model optimization, real-time streaming data, distributed computing and scaling for multiple server nodes.
Qualifications and Education Requirements
PhD in Computer Science, Electrical Engineering, or related fields with a focus on Machine Learning for the dissertation.
Experience in deep learning research
Extensive experience in developing deep learning software with frameworks like Tensorflow and PyTorch
Experience in data structures, algorithms, and computer science fundamentals
Strong programming skills and experience with Python required, and C/C++ and Java preferred
Experience in Reinforcement Learning
Experience with ML model optimization, GPU acceleration, system software, and performance optimization
Experience with multi-threaded programming, parallel processing, OOD, OOP and distributed programming preferred
Experience in Python Web Frameworks – Django, Flask - a plus
Demonstrated effective communication and collaboration skills
A competitive salary and extensive social benefits
Diverse and dynamic work environment
Work-life balance and support for career development
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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.
HPE is an equal opportunity employer/Female/Minority/Individual with Disabilities/Protected Veteran Status