✨ About The Role
- The role primarily focuses on building and improving data and machine learning systems.
- Responsibilities include developing model training infrastructure for machine learning model training.
- The engineer will engage with other teams to identify issues and provide feedback loops backed by data and metrics.
- The position involves contributing to the architectural design and performance tuning of high-performance systems.
- The role is critical in advancing autonomous driving systems through the lifecycle of machine learning models.
⚡ Requirements
- The ideal candidate will have over 3 years of hands-on experience in building scalable backend systems specifically for machine learning models.
- A strong understanding of machine learning concepts, distributed systems, and cloud platforms is essential for success in this role.
- The candidate should possess the ability to develop, debug, and support new technologies in a dynamic environment.
- Strong problem-solving skills and the capability to write clean, production-quality code are crucial.
- The candidate should be eager to engage with other teams and establish long-term relationships for knowledge sharing.