Member of Technical Staff – AI/ML
Indexed description
We're looking for 10x engineers who are comfortable learning across domains and diving deep into unfamiliar territory. High agency, ground-up builders who thrive with significant ownership from day one.
The Role
You'll own the intelligence layer that makes our agents actually work. We run a multi-agent system in production – a workflow builder agent for conversational automation creation and a maintenance agent for error recovery. Both rely on vision-language models to understand what's on screen. Your job is to make all of them more reliable, faster, and cheaper.
What You'll Work On
- Design and improve our two-agent system (workflow builder, maintenance) that creates and repairs automations through tool-calling with 15+ browser automation primitives
- Fine-tune VLMs to improve accuracy and reduce reliance on API calls
- Build evaluation frameworks that measure agent reliability and catch regressions before customers do
- Develop techniques for handling edge cases, recovering from failures, and generalizing across UI variations
- Research and implement approaches to make agents more predictable and debuggable
- You've trained or fine-tuned models that run in production
- You're opinionated about agent design – when to use LLMs, when not to, how to structure tool use
- You believe evals are the path to reliability and have built systems to prove it
- You're comfortable reading papers and implementing ideas from scratch
- You've worked on problems where labeled data is scarce and you had to get creative
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