Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations in the trucking transportation industry. The AI Data Infrastructure team needs to provide tooling and infrastructure to process petabytes of data per month into actionable insights for ML and autonomy engineers.
Requirements
- Experience building and managing data platforms for multimodal ML needs.
- Proven track record of building scalable, reliable infrastructure in a fast-paced environment.
- Experience building or using ML infrastructure for a large number of customer teams.
- Deep understanding of design trade-offs with the ability to articulate those trade-offs and achieve alignment with others.
- Experience in building ML models or infrastructure in domains such as autonomous vehicles, perception, and decision-making (desirable but not required).
- Prior experience in autonomous vehicles (AV) is a plus.
Responsibilities
- Architect data processing pipelines that handle multimodal (video, point cloud, audio, text) data for a wide base of customers.
- Manage core libraries used by the entire company for data transformations and processing.
- Build low latency/high throughput, fault tolerant batch or stream processing systems.
- Build scalable backend services for data search and data curation systems.
- Write high quality Python, SQL and Golang code.
Other
- Ability to collaborate effectively across teams.
