Applied AI Engineer, Evals

Description

About Sable

Sable built Aidan, the first AI employee who can lead customer calls using realtime voice, vision, and browser use. Aidan runs a live, two-way conversation inside a real product environment, clicking through the product like a human, watching the user's screen, and adapting the journey on the fly. Every conversation feeds a self-improving context graph we call the Brain, so Aidan gets smarter with each call.

Responsibilities

• You translate what makes a good performance into clear, defensible signals, and use those signals to improve Aidan. Role involves carrying out evaluations of agents on a broad range of areas on the frontier including voice, vision, and browser use, and using the findings to optimize the agent, context, and models.
• Design evaluations for voice, vision, and browser use to direct and accelerate improvements in the agent, context, and models
• Build and maintain our internal benchmarks and simulations
• Work on systems to score customer-specific scenarios and identify gaps in current capabilities.

Requirements

• Engineer with statistics and/or applied machine learning experience
• Comfortable in a production codebase
• Bonus: prior experience with evaluations or with voice, realtime, or browser use/computer use agents.