Research Engineer

Sable; San Francisco (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

Sable is assembling a world-class team to build Aidan, the first AI employee capable of leading customer calls across voice, vision and browser use. You will empower Aidan to orchestrate real-time modalities—voice, hands, eyes, and the Brain—while refining the verification loop to ensure robust performance in live scenarios.

You will work in a small, autonomous team, delivering end-to-end engineering across perception, action planning, and continuous learning.

Qualifications

• Experience in building real-time AI systems.
• Proficiency with large language models and agent orchestration.
• Hands-on work across browser/UI automation.
• Applied ML for multimodal evaluation and improvement.

Responsibilities

• Improve runtime for voice latency, perception, and actions.
• Build Skills system from demos to durable knowledge.
• Enhance Aidan's screen understanding and browser interaction.
• Study and improve the agent's decision-making and learning loop.

Skills

Realtime systems

LLM agents

Browser/UI automation

Multimodal ML

Tools

Orchestration frameworks

Job 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 build Aidan himself. You empower Aidan to orchestrate his abilities across four modalities in realtime: voice (two-way, multilingual conversation), hands (live browser use inside real products), eyes (proactive vision on the user's screen), the Brain (a self-improving context graph), and the verifiers (how we can keep evaluating Aidan\'s performance in real scenarios). 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.

What you\'ll do

• Improve agent runtime across topics like voice latency, perception, personalization, action planning for live browser use

• Build out the Skills system: turning screen recordings and human-led demos into reliable, durable knowledge of how to operate a customer\'s UI

• Advance perception: 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

• Strengthen the improvement engine: study Aidan\'s interactions to determine where he took a suboptimal action, what he could have done better, and how he can use those moments to learn and improve automatically

Who you are

• 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

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