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5 days ago
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Sable·5 days ago
5 days ago

Applied AI Engineer, Evals

San Francisco, United States of AmericaFull-timeOn-siteMid · 2-5 yearsAI Engineer

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Must-have skills for this role

  • applied machine learning
  • statistics

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Apply faster with autofill FREEsable uses Ashby - autofill it instead of retyping.careers.example.com/applyAutofillingFull namePriya SharmaEmailpriya.sharma@example.comPhone+49 30 1234567LocationBerlGet the extension

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.

What they're looking for

  • Engineer with statistics and/or applied machine learning experience
  • Comfortable in a production codebase

Nice to have

  • prior experience with evaluations or with voice, realtime, or browser use/computer use agents.

Summarised by NextRaise from the employer’s description, which follows in full below.

Full description from employer

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.

Company

Sable
San Francisco, United States of America

Company facts come from this company's own listings. We only show what the postings themselves carry.

Sourced from Sable's careers site·first seen 15 Sept 2026·last verified 15 Sept 2026·How we source jobs

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