Principal Engineer, Data & ML Infrastructure

Summary

Join Motional as a Principal Engineer, Technical Lead to spearhead the development and improvement of our large-scale AI model and software evaluation framework, Ground Truth Regression. This crucial role involves leading a team of engineers in delivering critical software for autonomous vehicle ML models and software. You will drive innovation in large-scale data warehousing and analysis, build high-quality datasets, and provide statistical insights into model performance. The position requires strong leadership, communication, and problem-solving skills, along with expertise in machine learning, data mining, and large-scale cloud frameworks. You will mentor the team and manage project timelines and resources. This role offers a competitive salary and benefits package.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• Excellent leadership, communication, and problem-solving skills
• Proven record leading a small diverse dedicated team supporting a large user base
• 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

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

Preferred Qualifications

• Ph.D. in Computer Science or a related field
• Experience with cloud platforms such as AWS, Google Cloud, or Azure
• Experience with machine learning in the autonomous driving domain
• Publications or contributions to the AI/ML community

Benefits

Medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance