Sable
Research Engineer
San Francisco
Sponsorship not specifiedDetected 6 days ago
Machine LearningLLMsResearch
About the role
- You empower Aidan to orchestrate his abilities across four modalities in realtime:
Responsibilities
- Build out the Skills system: turning screen recordings and human-led demos into reliable, durable knowledge of how to operate a customer's UI
- Comfortable in a small team where you own problems end to end and communicate fluidly
- You build Aidan himself.
Requirements
- 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
- improve Aidan's ability to see and understand the user's screen in realtime and use those visuals to decide when and how to intervene
- Making that feel human is one of the hardest engineering problems in AI, and our engineering team's unique ability to solve it is what makes Sable special.
Nice to have
- previous experience at a leading AI company or institution
- Preferred: previous experience at a leading AI company or institution
Skills
- turning screen recordings and human-led demos into reliable, durable knowledge of how to operate a customer's UI
Benefits
- Sable built Aidan, the first AI employee who can lead customer calls using realtime voice, vision, and browser use.
This listing is sourced directly from Sable's careers page and normalized into a canonical job model.