Jr. / Mid Machine Learning Engineer – Time-Series & Inertial AI

We are building a new Systems-Level Integration (SLI) team focused on Smart high-performance Inertial Sensors and Systems. As a Machine Learning Engineer in our expanding Riyadh office, you will pioneer the use of Deep Learning to enhance the raw performance of MEMS IMU sensors. In the initial phase of this role, you will focus entirely on software, simulation, and data-driven modeling. You will work with datasets provided by our core engineering team to train models that correct stochastic errors, denoise signals, and improve sensor performance. What You Will Do Time-Series AI Development: Design, train, and validate neural networks (CNNs, LSTMs, TCNs, Transformers, etc…) to denoise raw inertial sensors data and fuse them for better performance.…