Mobility to Love, Safety to Live
software development • automated driving • vehicle software platform • smart city
August 27
🔄 Hybrid – Bay Area
Mobility to Love, Safety to Live
software development • automated driving • vehicle software platform • smart city
• Lead the development and implementation of complex data models and algorithms to solve business problems for the Perception team and beyond. • Develop and implement data strategies for collecting, sampling, labeling, and using large scale datasets to enhance machine learning model performance. • Develop metrics and tools for anomaly detection and trend analysis in data from various sources, including real-world vehicle platforms and simulations. • Design and improve scalable data pipelines and automation for machine learning and performance evaluation. • Prepare and present detailed reports and visualizations to stakeholders, clearly communicating complex results to both technical and non-technical audiences. • Stay current with advancements in data science and machine learning technologies, driving the adoption of best practices. • Act as an advisor and influence collaborators across multiple teams, fostering a culture of continuous improvement.
• MS or PhD in a quantitative field (e.g. Statistics, Mathematics, Physics) • 3+ years of experience solving large-scale data science problems • Experience with theoretical aspects of data science and machine learning (deep learning, statistical analysis, and mathematical modeling) • Experience in building machine learning algorithms and infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluation • Experience with Python and SQL data analysis libraries and packages
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