✨ About The Role
- The role involves designing and developing unified, introspectable, scalable batch, and streaming data pipelines for evaluation purposes.
- Candidates will create and implement a storage system to accommodate a large volume of evaluation and performance metrics.
- The job includes constructing intuitive dashboards and reports to present evaluation results, highlighting improvements and regressions in ML components.
- Continuous testing and monitoring systems will be developed and maintained to ensure data integrity and resilience.
- The position requires collaboration with system engineers to validate the autonomous driving system before deployment.
⚡ Requirements
- A degree in Computer Science, Electrical Engineering, or a closely related field is required, with a preference for candidates holding a Master's degree.
- Candidates should have at least 4 years of relevant work experience, demonstrating a strong proficiency in programming languages such as Python or Golang.
- Experience in working with large-scale data and building scalable and reliable systems is essential for success in this role.
- The ideal candidate will have a track record of engineering leadership, including setting technical vision and mentoring junior engineers.
- A willingness to dive deep into implementation and drive technical standards across the software organization is crucial.