Tech Stack

Description

As a Senior Data Engineer, you will develop large-scale data analysis metrics and KPIs for validating autonomous vehicle performance, working closely with ML Engineers and Autonomy Software Developers. You'll own workflows that surface unexpected impacts of changes to ML models and software, and build high-quality datasets for training edge case validation.

Requirements

• Bachelor's or Master's in CS, Data Science, or related field
• Strong programming in Python, SciPy, data analysis frameworks
• Experience in machine learning, data mining, statistical analysis
• Experience with large-scale data processing and distributed computing
• Strong communication and software development skills

Responsibilities

• Develop new data analysis metrics and KPIs for autonomous vehicle performance validation
• Research and develop new large-scale data analysis systems
• Own large-scale data analysis workflows for ML and software changes
• Build high-quality datasets for ML model training and edge case validation
• Provide statistical analysis of model performance generalization