Quantum Machine Learning Researcher

Role overview Set and carry out an applied quantum research agenda focused on finding industrial problems where quantum methods can offer value over classical approaches. The role combines algorithm research and benchmarking with production-oriented implementation, publication, and intellectual property development, with access to quantum processing hardware from multiple providers.

Responsibilities - Identify promising industrial use cases and compare quantum approaches with classical baselines. - Design, implement, and benchmark quantum and hybrid algorithms, considering near-term hardware constraints. - Account for hardware characteristics such as noise, gate fidelity, connectivity, and coherence when shaping methods. - Record research outputs in a reusable internal library, with an emphasis on reproducibility. - Write documented research code suitable for integration into production systems. - Publish peer-reviewed work, pursue patents, and contribute to client proof-of-concept projects when relevant.

Requirements - PhD in quantum computing, quantum physics, or quantum chemistry. - Deep knowledge of quantum algorithms, error mitigation, tensor network methods, and simulation. - Strong understanding of how quantum hardware constraints affect algorithm design. - A demonstrated quantum computing publication record. - Strong Python skills and experience with quantum frameworks. - Ability to translate research into product features, intellectual property, and client value.

Nice to have - Experience with quantum chemistry tools such as PySCF or OpenFermion. - Industry lab or applied research experience; familiarity with classical machine learning or optimization. - Knowledge of multiple quantum hardware providers or modalities, including digital, analog, or photonic systems.

Benefits and work setup - Remote-first work with autonomy and equity participation. - Access to quantum processing hardware credits across multiple providers. - Engineering support to help bring research into production.