✨ About The Role
- The role involves building and extending an Airflow-like infrastructure that coordinates production data processing and machine learning workflows.
- Collaboration with cross-functional teams is required to design and build various integrations and operators.
- The position focuses on improving tooling and leveraging automation to enhance the developer experience for Zoox’s software teams.
- Candidates will work on enhancing the workflow orchestration infrastructure for performance, reliability, and efficiency.
- The job supports diverse machine learning and data processing workloads across multiple applications and services.
âš¡ Requirements
- The ideal candidate should be strongly proficient in Python and have experience building cross-platform software using source control like Git.
- A passion for automation and building production-grade tooling is essential for success in this role.
- Candidates should be eager to learn about evolving technologies related to data and machine learning use cases.
- Experience with workflow orchestration systems, such as Airflow, is a valuable asset.
- Familiarity with human-readable data serialization languages, such as YAML, will be beneficial.