Principal Engineer, Data & ML Infrastructure

Mission Summary: We are seeking a highly skilled and motivated Principal Engineer, Technical Lead to lead our large-scale autonomous vehicle evaluation framework. The ideal candidate will have a strong background in cloud infrastructure, distributed systems and technical leadership, with experience in developing and deploying advanced data analysis and large scale orchestration frameworks. At Motional, large scale orchestration for data analysis plays a critical role in delivering our ML-centered autonomous driving vehicle. Our robo-taxi ML Models and software are developed by hundreds of developers and deployed multiple times a day – The Ground Truth Regression team provides the large scale perception analysis framework for validating all changes to perception which can impact the autonomous vehicle behavior. The GTRegression team validates the end impact of ML and software changes to the autonomous vehicle while those changes are in development, providing the tools for Root Cause Analysis, and safety consideration. We monitor for model errors, anomalies, rare objects & long-tail driving scenarios across thousands of driving hours. The team develops the full stack – AWS Kubernetes orchestration framework, ReSimulation, model metrics, regression reports, and deep dive analysis UI’s. The team works together with all other perception and ML teams to develop the metrics and analyze results. What You'll Do: - Lead a team of engineers with a diverse skill set to deliver critical software and infrastructure 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. - Work with annotation specialists to build high-quality evaluation datasets. - 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. What We're Looking For: - 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. - Proficiency in Go (Golang), Python, or C++ for building high-performance, concurrent microservices and platform tooling - Deep hands-on experience building production infrastructure on public clouds (AWS, GCP, or Azure) and managing containerized workloads at scale using Kubernetes (K8s). - Experience with large-scale data processing and distributed computing technologies. Bonus Points: - Ph. D. in Computer Science or a related field. - Knowledge of or hands-on experience with OLAP databases (e. g. , ClickHouse) for data analysis. - Experience with machine learning in the autonomous driving domain. - Familiarity with error analysis and statistical techniques for monitoring model performance and generalization in production. - Publications or contributions to the AI/ML community. The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.