About the job
What you'll do
Design, train, evaluate, and optimize machine learning models for quantum error correction tasks, using simulated and experimental data and building the pipelines and infrastructure needed for experimentation. Collaborate with researchers and software, hardware, and product teams to prototype and integrate models into Riverlane’s QEC stack, and communicate findings through technical discussions, write-ups, and publications where appropriate.
What they're looking for
Applicants need an MSc, PhD, or equivalent professional experience in a relevant technical field, at least 2–3 years of AI or machine learning experience, and working knowledge of quantum error correction. They should have strong Python and/or C++ programming and software engineering skills, experience with scientific computing and ML frameworks, neural network architectures and training methods, model optimization, GPU or TPU acceleration, and strong communication and collaboration abilities.