Machine Learning Engineer till tt2
Core
Developing indoor positioning systems using machine learning and statistical modeling for environments where GPS/GNSS signals are unreliable.
Role type
Machine Learning Engineer (Indoor Positioning)
Builds
Software-based positioning systems running on commercial hardware like smartphones
Domain
Indoor navigation, dual-use technology (civilian and defense)
Deliverable
production ML models
Required skills
Python, PyTorch, mathematical modeling, deep learning, control theory, object-oriented programming (Java/Kotlin/C++)
Preferred skills
Linux, git, MLOps
Responsibilities
Develop positioning systems from concept to finished model, create and test physical/mathematical/ML models, continuously evaluate methods to improve indoor positioning systems
Seniority
Mid-level IC
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