Frontier Tech Llm Evaluation Jobs

Responsibilities Build and own end-to-end evaluation suites for LLM capabilities: task specs, grading logic, and the dashboards

VLM/LLM training: Track record in training VLMs or LLMs.

…affect how your candidacy is evaluated.

…affect how your candidacy is evaluated.

…especially with generative models, e.g., LLMs/VLMs, and/or reinforcement learning

…strategy and methodology used to evaluate the behavior of the Waymo Driver.

Integrate LLMs into applications using available APIs, AI frameworks, and emerging protocols such as MCP.

Hands-on experience building LLM features in production: tool use, retrieval, structured output, and above all, evaluation.

These techniques are for the Evaluation systems on our autonomous service.

Our work spans efficient LLM training and inference, parallel and diffusion-based generation, sparsity, scaling laws, and training dynamics.

Creating evaluation datasets, test harnesses, regression suites, or quality dashboards for LLM or agent systems.

Build model routing and online evaluation tooling to help us learn and route to the best models.

Creating evaluation datasets, test harnesses, regression suites, or quality dashboards for LLM or agent systems.

…Engineers to train, post-train, and evaluate the LLMs at the core of our platform.