自动驾驶数据挖掘专家_XC
Core
Build data closed-loop systems for autonomous driving perception and planning models, focusing on mining and governing Corner Cases (long-tail failure scenarios) to improve model robustness and coverage.
Role type
Senior IC autonomous driving data mining expert (perception/planning)
Builds
Automated data mining platforms, standardized labeling systems, and high-quality Corner Case datasets for perception and planning algorithms.
Domain
Autonomous driving / Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, big data analysis tools, sensor data cleaning, scenario clustering, anomaly analysis, sample selection, data pipeline orchestration, root cause analysis
Preferred skills
Perception/planning model iteration, data closed-loop construction, NOA mass production data iteration, large model automated mining, patent/technical accumulation
Technologies
Python, SQL, big data tools
Responsibilities
Integrate existing data mining capabilities and establish unified data delivery standards for perception and planning; mine, cluster, and attribute long-tail failure scenarios in real-world and simulation data; design and govern unified labeling systems for Corner Cases; curate and balance high-quality datasets for rare/extreme scenarios; deliver data-driven insights and samples to support algorithm iteration and version optimization.
