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SablePosted 1 month ago

Research Engineer

On-siteSan Francisco, California, United States

Full TimeStartup

Job Summary

Improve agent runtime across voice latency, perception, and action planning for live browser use. Build the Skills system by converting screen recordings and human-led demos into durable knowledge of customer UI operations. Advance perception to enable real-time screen understanding and visual intervention decisions. Strengthen the improvement engine by analyzing interactions to identify suboptimal actions and automate learning loops. You will own problems end to end within a small team focused on making AI feel human.

Required Qualifications

  • Engineer with deep experience in at least one of: realtime systems (voice/streaming/media), LLM agents and orchestration, browser/computer use, and applied ML such as multimodal evals
  • Comfortable in a small team where you own problems end to end and communicate fluidly

Desired Qualifications

  • Preferred: previous experience at a leading AI company or institution

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