As TLM of the Event Insights sub-team, you will start with a small team (3-5) to work on key initiatives revolving around the enrichment, understanding, and management of metric events at low latency. Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include:

Clustering: Lead the creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world.

Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events. The TLM is accountable for storage that scales to meet all these requirements.

Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo’s challenges.

Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver’s performance.

Vehicle Intent and Prediction Intern

Responsibilities

Qualification

Required

Benefits

Company

Waymo

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