# Principal AI Research Scientist (HPE Labs)

**Company**: Hewlett Packard Enterprise
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: Annual Salary USD 172,000 - 328,000 in Massachusetts // 172,000 - 349,000 in California // 152,000 - 349,000 in Texas
**Category**: Research
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Milpitas-California-United-States-of-America/HPE-Labs---Senior-AI-Researcher--Foundational-AI_1210921-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_48cef1d9-a73

## Description

HPE Labs is seeking a Principal AI Research Scientist for the HPE Quantum team within Emergent Machine Intelligence. As a senior individual-contributor role, you will focus on original, publication-driven research in areas including foundation model reasoning, representation learning, physics-inspired machine learning, mechanistic interpretability, and interdisciplinary work at the intersection of AI, quantum computing, and physical science.

Key Responsibilities:

- Independently lead research projects from initial brainstorming and problem formulation through mathematical development, implementation, experimentation, analysis, and publication.

- Translate early-stage ideas into concrete hypotheses and design rapid, decisive experiments to determine whether a direction should be expanded, revised, or discontinued.

- Produce original research suitable for publication at leading venues such as NeurIPS, ICML, ICLR, and comparable conferences and journals.

- Maintain broad and current knowledge of modern AI research and use that knowledge to identify emerging opportunities, relevant prior work, and meaningful open problems.

- Collaborate with researchers, engineers, interns, and external partners across AI, physics, quantum computing, and advanced computing systems.

- Develop and release reusable research assets, including open-source software, models, experimental infrastructure, benchmarks, or datasets, when appropriate.

Requirements:

- PhD in Computer Science, Artificial Intelligence, Machine Learning, Physics, Mathematics, or other related fields.

- Typically, 5+ years' experience Post PhD graduate studies.

- Strong and sustained record of original research in modern artificial intelligence or machine learning.

- Demonstrated ability to convert research ideas into rigorous, complete, and publishable outcomes, with a strong publication record at leading machine-learning venues.

- Broad and current command of the AI and machine-learning literature.

- Deep mathematical understanding of modern machine-learning methods.

- Excellent experimental skills.

- Advanced proficiency in Python and PyTorch.

- Experience working with research codebases, open-source libraries, HPC and distributed systems.

- Strong software-engineering and algorithm implementation skills.

- Strong written and verbal communication skills.

- Demonstrated ability to work autonomously and collaborate effectively in an interdisciplinary research environment.

Desired Knowledge and Skills:

- Substantial research background in theoretical physics, statistical physics, quantum physics, condensed-matter physics, or another mathematically intensive area of physics.

- Research experience combining machine learning with physics, applied mathematics, dynamical systems, optimization, or scientific computing.

- Experience moving fluidly between mathematical formulation, algorithm development, implementation, and empirical validation.

- Working proficiency in C++.

- Record of releasing high-quality open-source research software, models, benchmarks, datasets, or evaluation frameworks.

- Experience developing reusable experimental infrastructure or tools that accelerate research across multiple projects.

- Familiarity with neural quantum states, quantum many-body systems, quantum simulation, scientific machine learning, or other applications of AI to quantum science.

- Experience with advanced computational physics or chemistry methods.

What We Can Offer You:

- Health & Wellbeing benefits

- Personal & Professional Development programs

- Unconditional Inclusion

## Skills

### Required
- Python
- PyTorch
- C++
- Machine Learning
- Artificial Intelligence
- Physics
- Mathematics
- Computer Science

### Nice to have
- theoretical physics
- statistical physics
- quantum physics
- condensed-matter physics
- applied mathematics
- dynamical systems
- optimization
- scientific computing

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Milpitas-California-United-States-of-America/HPE-Labs---Senior-AI-Researcher--Foundational-AI_1210921-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)