AI/ML Engineer

RiverlaneDelftHybridFull-time1 week ago

Riverlane is seeking an AI/ML Engineer to apply artificial intelligence and machine learning to quantum error correction (QEC) in Delft. The role involves designing, training, and deploying ML models for QEC tasks, collaborating with researchers and engineers. Requires an MSc/PhD in a technical field, 2–3 years of ML experience, working knowledge of QEC, and strong Python/C++ skills.

What you'll do

Design, train and evaluate ML models for QEC tasks such as decoding, calibration and noise characterisation, using both simulated and real experimental data.
Build robust data pipelines and training infrastructure to support rapid experimentation and hyperparameter tuning.
Optimise models for performance, latency and scalability, considering hardware and QEC constraints.
Work with QEC researchers to identify promising ML techniques for QEC and translate them into practical prototypes and algorithms.
Work closely with software, hardware and product teams to ensure research is grounded in real-world constraints and to integrate the prototyped models into Riverlane’s QEC stack.
Communicate results clearly through technical write-ups and discussions and contribute to publications and conference presentations where appropriate.

What you need

Must-have

PythonC++NumPySciPyJAXPyTorchtransformersCNNs

Nice-to-have

StimPyMatchingqubit modalitiesSLURMCUDAparallel programming

Soft skills

communicationcollaboration

AIMachine LearningQuantum Error CorrectionQuantum ComputingSoftware DevelopmentPythonC++ResearchEngineering

/What you'll do

/What you need

Must-have

Nice-to-have

Soft skills

What you'll do

What you need