Motional is seeking a Principal Engineer, Technical Lead to lead their large-scale AI model and software evaluation framework – Ground Truth Regression. This framework is critical for validating changes to perception in their robo-taxi ML Models and software, ensuring the safety and reliability of their autonomous driving vehicles. The team provides the tools for Root Cause Analysis, monitors for model errors, anomalies, rare objects & long-tail driving scenarios, and develops the full stack for perception analysis.
Requirements
- Experience in machine learning, data mining, and statistical analysis.
- Proven experience in developing and deploying large scale cloud frameworks.
- Strong programming skills in Python.
- 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
- Lead a team of engineers with a diverse skill set to deliver critical software supporting the development of the autonomous vehicle ML models and software.
- Drive innovation by researching and developing new large scale data warehousing and analysis.
- 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.
- Provide technical leadership and mentorship to the team, fostering a culture of collaboration and continuous improvement.
- Manage project timelines, resources, and deliverables to ensure successful project execution.
Other
- Excellent leadership, communication, and problem-solving skills.
- Proven record leading a small diverse dedicated team supporting a large user base.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Ph.D. in Computer Science or a related field.
- Publications or contributions to the AI/ML community.
