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 our first Machine Learning Engineer in the Riyadh office, you will pioneer the use of Deep Learning to enhance the raw performance of Commercial Off-The-Shelf (COTS) MEMS sensors.

Requirements

• Citizenship: Saudi Nationals
• Education: BSc or MSc in Computer Engineering, Aerospace Engineering, Electrical/Mechanical Engineering, or a strictly related engineering field.
• AI/ML Expertise: Strong hands-on experience with Deep Learning frameworks (PyTorch preferred) and a solid understanding of training models on time-series data.
• Coding: Python proficiency is mandatory, with strong software engineering practices (Git, unit testing, modular code design).

Benefits

• Opportunity to work on real-world AI + hardware systems
• Collaborate with highly specialized engineering teams across borders
• Take ownership as a founding ML engineer in Riyadh
• Grow in an environment that embraces AI-driven innovation