Senior Data Engineer, Autonomous Driving Model

- Design and manage scalable data mining pipelines to identify key driving scenarios from extensive fleet datasets. - Direct the curation and examination of large-scale training datasets to enhance the LDMs robustness and adaptability. - Create and execute comprehensive evaluation frameworks to assess model performance compared to real-world standards. - Provide mentorship and code evaluations for junior and mid-level engineers, maintaining high standards for code integrity and system architecture. - Collaborate closely with modeling engineers to specify data needs and refine experimental workflows. - Detect patterns, anomalies, and shifts in data distribution that influence model training and validation. - Affect the design of data infrastructure, making informed choices about the balance between data quality, scale, and computational efficiency. - Convert experimental data approaches into production-ready systems, emphasizing automation through Python.