Motional is seeking a Senior Data Analysis Engineer to develop and improve the large-scale AI model and software evaluation framework, Ground Truth Regression, to validate changes to perception and ensure the safety and reliability of autonomous vehicles.
Requirements
- Strong programming skills in Python, SciPy, and related data analysis frameworks.
- Experience in machine learning, data mining, and statistical analysis.
- Experience with large-scale data processing and distributed computing technologies.
- Experience with cloud platforms such as AWS, Google Cloud, or Azure.
- Experience with machine learning in the autonomous driving domain.
Responsibilities
- Work with ML Engineers and Autonomy Software Developers to develop new data analysis metrics and KPI’s for the validation of the autonomous vehicle performance.
- Drive innovation by researching and developing new large scale data analysis systems.
- Own large-scale data analysis workflows that surface unexpected impacts of planned and unplanned changes to the ML models and software.
- Build high-quality datasets to improve ML products through training & edge case validation.
- Provide statistical depth on model performance & generalization through rigorous error and change analysis.
Other
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Strong communication and software development skills: goal setting, design documentation, test frameworks, collaborative cross team development.
- Ph.D. in Computer Science or a related field.
- Publications or contributions to the AI/ML community.
- Participation in Motional’s benefits program, including medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.
