About the job Oriient is solving indoor positioning by turning the Earth's magnetic field into a digital map. We utilize the unique magnetic signatures of buildings, combined with phone-based IMU and magnetometer data. We are looking for an engineer to help us blend classical estimation with learned motion models to achieve meter-level accuracy.

What you’ll work on

• Hybrid Algorithm Development: Developing and refining the localization engine using a mix of classic estimation methods and Deep Learning.
• Signal Analysis: Analyzing and processing signals from the IMU, magnetometer, and barometer to account for real-world noise.
• Full-Cycle Research: Reading academic papers to find new ways to improve convergence and then watching your changes improve accuracy across thousands of buildings.

What we’re looking for

• B.Sc. in EE, Applied Math, or a related field.
• 3+ years of experience in signal processing, estimation, or sensor fusion.
• Experience with Deep Learning for time-series or movement estimation.
• Proficient Python; you care about correctness and seeing your work deployed in large-scale retail and healthcare environments.