Note: The job is a remote job and is open to candidates in USA. Motional is a driverless technology company developing autonomous vehicles. The Principal Engineer, Data & ML Infrastructure will lead the Ground Truth Regression team in building large-scale data analysis, orchestration, and infrastructure systems that evaluate autonomous vehicle ML models and software. The role also provides technical leadership, mentorship, statistical analysis, and project oversight.
Responsibilities
- 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
Skills
- * 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
- * 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
Benefits
- Medical
- Dental
- Vision
- 401k with a company match
- Health saving accounts
- Life insurance
- Pet insurance
Company Overview
Company H1B Sponsorship