Machine Learning Engineer at siwaresystems

Language

Setup: Hybrid
Location: Eastern Province
Type: Full-time
Level: not_specified
Posted: Aug 12, 2026

Description

As a Machine Learning Engineer joining the Systems-Level Integration (SLI) team in Riyadh, you'll leverage Deep Learning to optimize MEMS IMU sensors. This involves developing time-series AI models for data denoising and fusion, creating virtual sensing enhancements, designing efficient data pipeline engineering, collaborating cross-border with firmware teams, rapidly prototyping ML algorithms, conducting ongoing research, and optimizing models for deployment.

Required Skills

Deep Learning
neural networks
CNNs
LSTMs
TCNs
Transformers
self-supervised learning
supervised learning
data processing pipelines
PyTorch
TensorFlow
Quantize
prune
ARM Cortex-M

Additional Information

Preferred Qualifications: Experience in Time-Series AI Development.
Proficiency in Virtual Sensing techniques like self-supervised or supervised learning.
Expertise in Data Pipeline Engineering, capable of handling large-scale inertial dataset processing.
Ability to collaborate effectively across borders, particularly with Egypt-based Systems and Firmware teams, ensuring model compatibility with TinyML.
Strong capability in Rapid Prototyping, translating academic research into practical implementations.
Commitment to continuous Research, staying updated with cutting-edge advancements in ML applied to inertial systems.
Skilled in Model Optimization, specifically quantizing and pruning models for deployment on constrained embedded platforms such as ARM Cortex-M.