About this role
San Francisco is the work location for the Applied AI Engineer, Evals position at sable, which suits an engineer with statistics and applied machine learning experience. This role focuses on translating performance metrics into signals to optimize the Aidan artificial intelligence employee.
Role Overview
The Applied AI Engineer, Evals position at sable involves creating and executing evaluations for agents across voice, vision, and browser use capabilities. The selected professional uses evaluation findings to optimize the agent, context, and underlying models.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
About the Company
sable created Aidan, described as the first artificial intelligence employee capable of leading customer calls through realtime voice, vision, and browser use. Aidan operates within a live product environment, interacting with products like a human, observing user screens, and adapting workflows dynamically while feeding a self-improving context graph named the Brain.
How to Apply
Interested candidates should apply on the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the job located?
The job is located in San Francisco.
What is the primary focus of the role?
The role focuses on carrying out evaluations of agents across voice, vision, and browser use, and using findings to optimize the agent, context, and models.
What qualifications are required?
Candidates need experience with statistics and/or applied machine learning, and must be comfortable in a production codebase.
What experience is listed as a bonus?
Prior experience with evaluations or with voice, realtime, or browser use/computer use agents is considered a bonus.
What product does sable build?
sable built Aidan, an AI employee that conducts realtime voice, vision, and browser use customer calls.