Jobs in Spring, TX

About the role

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. . "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.

What you'll bring

• 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 optimization, and reproducible experimentation.
• Strong knowledge of state-of-the-art AI/ML algorithms and the engineering skills to adapt, implement, and apply them to real-world problems when needed.
• Strong written and verbal communication skills, with the ability to explain complex technical ideas, present research findings, and write high-quality scientific papers.

Locations