Experienced Algorithm Engineer for Priority Semantics Team

Join our company's REM (Road Experience Management) department - the team driving the automatic creation of High-Definition maps, a cornerstone technology behind our company's autonomous driving and advanced driver-assistance systems.REM map creation leverages cutting-edge algorithms executed at massive scale using Big Data technologies, requiring both a deep understanding of the map creation pipeline and strong technical expertise.You will be part of our Priority Semantics algorithmic team, focused on understanding right-of-way rules and interactions derived from traffic signs, road structures, and driving behavior.The team uses cutting-edge technologies, including Graph Neural Networks (GNNs) and data-driven learning techniques, to model complex driving scenarios and extract meaningful insights from large-scale real-world driving data.This role requires a deep understanding of the data itself, modeling complex semantics, and extracting insights using learning-based approaches to accurately represent real-world driving priorities.What will your job look like?Design, train, and evaluate cutting-edge deep learning models on REM proprietary map dataPerform high-scale, large-volume data analysisIntegrate new map-based algorithms with full ownershipDevelop tools that enable fast and effective data introspectionOptimize models and results where needed.Requirements: 3+ years of industry experience, including at least 1 year of experience in machine learningMSc in Computer Science, Electrical Engineering, or a related engineering fieldStrong experience in PythonFamiliarity with numerical and data science frameworks such as NumPy, Pandas, SciPy, PySpark, TensorFlow, and PyTorchLinux knowledge and some familiarity with AWSA get it done approach and a flexible mindsetExperience working with AI agents or coding assistants (e.g., Copilot) - an advantageFamiliarity with Graph Neural Networks (GNNs) - an advantage.This position is open to all candidates.