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Hewlett Packard Labs — Physics-Based Generative AI Research Associate (Intern)
Hewlett Packard Labs — Physics-Based Generative 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:
Project description:
While generative AI models, such as Large Language Models (LLMs) and diffusion models, have reached unprecedented results, but they lack interpretability and are inefficient, especially when involved in complex reasoning and scientific quests. In the Emergent Machine Intelligence Team at Hewlett Packard Labs, we are dedicated to pushing the boundaries of what’s possible with artificial intelligence. We specialize in creating cutting-edge machine-learning algorithms and applications by augmenting state-of-the-art LLMs with concepts and tools from symbolic AI, physics simulators, statistical physics, and non-equilibrium thermodynamics. We aim to revolutionize AI by creating first-principled generative models for system-2 thinking that can perform reliable and interpretable complex reasoning over multimodal data while delivering efficient hardware performance. Join us to be a part of a team that shapes the future of high-performance AI.
*Hiring for multiple positions*
Required skills and experiences:
- Currently pursuing a PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields.
- Proficiency in Python
- Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Excellent understanding of neural networks, deep learning, and generative models.
- Excellent written and verbal communication skills
- Ability to collaborate effectively across diverse teams
Desired skills and experiences
- Background in computational physics, with an understanding of how physical principles can be applied to improve machine learning models and algorithms
- Familiarity with combinatorial optimization techniques and algorithms, and their application in solving complex computational problems.
- Experience with energy-based models
- Experience with diffusion models
- Experience in applying generative AI models to solve problems in areas such as material science, quantum computing, or complex system simulations.
We are looking for candidates who are working towards a PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Physics, Electrical Engineering, Mathematics, or other related fields. The ideal candidate will have research experience in the areas of generative AI, statistical physics, or probabilistic computing. Applicants should be comfortable working in a strongly collaborative and multidisciplinary industrial basic research environment.
Additional Skills:
Accountability, Accountability, Action Planning, Active Learning (Inactive), 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 {+ 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 .
USD Hourly: $41.11 – $93.15
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. .
Accommodations will be made available for eligible job seekers
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