Applied ML Engineer

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Location: AtharX HQ, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

Type: Full-time

Start: Open until filled

We are developing a vertiport digital twin to support advanced air mobility operations. You will be responsible for building AI surrogate models that accelerate simulation-driven predictions to near real-time inference and integrating them into the platform.

Train AI models that learn from simulation outputs (and external inputs) to provide fast predictions suitable for planning and decision support.

•⁠  ⁠Build a clean dataset pipeline from simulation outputs and inputs

•⁠  ⁠Train and evaluate surrogate machine learning models

•⁠  ⁠Package inference in a lightweight, deployable form

•⁠  ⁠Work closely with the CFD engineering team on data design and validation

•⁠  ⁠Strong PyTorch skills and solid ML engineering practices

•⁠  ⁠Experience with regression/prediction on spatial and/or temporal data

•⁠  ⁠Comfortable with scientific data formats and reproducible experiments

Send your CV and a short note with 2–3 relevant projects.