HPE Labs - Senior AI Researcher, Foundational AI

HPE Labs - Senior AI Researcher, Foundational AI

  

This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.

Job Description:

   

HPE Labs is seeking a Senior AI Researcher for the HPE Quantum team within Emergent Machine Intelligence, a senior individual-contributor role focused 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. The ideal candidate is intellectually broad, experimentally strong, and highly autonomous, with strong research judgment, a track record of publishing at leading AI venues, and the ability to identify impactful problems, develop original ideas collaboratively, and mentor junior researchers. .

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. Or equivalent.

• Demonstrated ability to convert research ideas into rigorous, complete, and publishable outcomes, with a strong publication record at leading machine-learning venues such as NeurIPS, ICML, and ICLR, or comparable peer-reviewed venues.

• Broad and current command of the AI and machine-learning literature, extending beyond a single model family, technique, or application area.

• Deep mathematical understanding of modern machine-learning methods, including their objectives, assumptions, optimization behavior, learning dynamics, and limitations.

• Excellent experimental skills, including hypothesis formulation, rapid prototyping, controlled evaluation, analysis of failure modes, and interpretation of results.

• Advanced proficiency in Python and PyTorch, with experience using common AI/ML packages, libraries, and research tooling.

• Experience working with research codebases, open-source libraries, HPC and distributed systems, and collaborative software-development practices.

• Strong software-engineering and algorithm implementation skills for research, including code design, version control, testing, debugging, profiling, performance optimizati