Hewlett Packard Labs - Machine Learning Research Scientist - Hewlett Packard Enterprise Company

This role has been designated 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:

The AI research team at Hewlett Packard Labs seeks highly qualified, self-motivated researchers to accelerate research toward Reinforcement Learning and Machine Learning applications in the area of sustainability, digital twins, LLMs, the trustworthiness of AI, complex scientific applications like nuclear fusion, sports analytics, and other domains. This position is for the core AI research team at Hewlett Packard Labs.

Hewlett Packard Labs is an internationally renowned research organization with its headquarters and largest facility in Milpitas, California, in the San Francisco Bay area. 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. This team focuses on complex multi-objective and multi-agent Reinforcement Learning with innovative applications to sustainability at scale, complex clean energy generation, nuclear fusion, and similar complex problems. The team also works on the robustness and explainability of models, 2D and 3D computer vision, and NLP / LLMs. There is work related to the use of reinforcement and transformers for model free optimizations. The team also works on fine tuning and self-correction of LLMs and all aspect of trust of LLMs. 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 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-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.

Education and Experience

• PhD degree (with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, statistics, etc.)
• Track record of world-class innovative contributions and ideas in machine learning.

Technical Skills:

• Experience in emerging ML areas, including reinforcement learning and generative AI research
• Experience in developing ML software with high proficiency in data structures and algorithms.
• Experience in Machine Learning frameworks like PyTorch - required
• Strong programming skills and experience with Python
• Software development experience in Deep Learning, GPU acceleration, and Model Optimization.
• Demonstrated ability to generate, frame, and carry out leadership research as shown, for example, by papers published in top-tier ML conferences or journals.

Additional Skills:

Accountability, Accountability, Action Planning, Active Learning, Active Listening, Bias, Business, Calendar Management, Coaching, Computer Literacy, Creativity, Critical Thinking, Design Thinking, Empathy, Follow-Through, Growth Mindset, Intellectual Curiosity, Long Term Planning, Managing Ambiguity, Office Administration, Policy and procedures, Problem Solving, Project Management, Recordkeeping, Risk Assessment {+ 5 more}

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

States with Pay Range Requirement

The expected salary/wage range for a U.S. -based hire filling this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. If this is a sales role, then the listed salary range reflects combined base salary and target-level sales compensation pay. If this is a non-sales role, then the listed salary range reflects base salary only. Variable incentives may also be offered. Information about employee benefits offered can be found at https://myhperewards.com/main/new-hire-enrollment.html .

Hourly: $53.00 - $64.25

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. .