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Applied AI Engineer, Evals

Sable · withsable.com
San FranciscoOn-site
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The job in short

A full-time on-site Machine Learning / AI Engineer role at Sable in San Francisco. Skills mentioned: Machine learning.

Machine learning

Details

Found
38 d ago · posted 2026-09-15
Location
San Francisco

Full 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. The role 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. What you'll do • 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. Who you are • 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.

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