HPE Labs - Senior AI Researcher, Foundational AI
Core
Senior individual-contributor researcher leading original, publication-driven work in foundational AI, including foundation model reasoning, representation learning, physics-inspired ML, and mechanistic interpretability.
Role type
Senior IC foundational AI researcher
Builds
Original research papers, open-source software, models, experimental infrastructure, benchmarks, and datasets
Domain
Artificial Intelligence, Quantum Computing, Physics, Mathematics
Deliverable
production ML models | research
Required skills
PhD in CS/AI/ML/Physics/Mathematics, 5+ years post-PhD research experience, strong publication record at NeurIPS/ICML/ICLR, deep mathematical understanding of ML methods, advanced Python and PyTorch proficiency, strong software engineering and algorithm implementation skills, excellent experimental design and analysis skills
Preferred skills
Background in theoretical/statistical/quantum/condensed-matter physics, experience combining ML with physics/applied math/dynamical systems, proficiency in C++, experience releasing high-quality open-source research assets, familiarity with neural quantum states or quantum simulation, experience with computational physics methods (Monte Carlo, DFT, MD)
Technologies
Python, PyTorch, HPC, distributed systems
Responsibilities
Lead research projects from problem formulation to publication, design rapid experiments to validate hypotheses, maintain broad knowledge of AI literature to identify open problems, collaborate across AI/physics/quantum teams, develop reusable research assets and infrastructure
Seniority
Senior, hands-on IC