Software Engineer - Machine Learning

QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity.

We’re building autonomous agents that think like engineers: they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Real AI teammates, not test scripts that break on impact.

We’re venture-backed and led by operators who’ve scaled Meta’s testing infrastructure, launched Uber’s global playbooks, and grew Deliveroo from zero to hypergrowth. We know what elite execution looks like and we’re hunting for one more builder to help us rewrite the rules of software quality.

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• Ship fast, learn faster: We deploy daily, not monthly
  
• Talk to users, shape the roadmap: Sit in the trenches with founders on calls that define what we build
  
• Train AI agents: Design LLM-powered testers that explore, learn, and adapt in real time
  
• Own the stack: Python, TypeScript, cloud infra, from commit to production
  
• Turn prototypes into production: Run real experiments on models, embeddings, and retrieval pipelines
  

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• Relentless drive: You execute fast, adapt faster
  
• Startup scar tissue: You’ve shipped product with no safety net
  
• Fluency with AI/LLMs: LangChain, vector stores, prompt engineering
  
• Product obsession: You care more about outcomes than outputs
  

There’s no perfect pedigree. We hire for mindset, not credentials. That said, you might have:

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• Shipped AI features in prod
  
• Built something from 0 to 1
  
• Thrived in chaos with high ownership
  

Software is accelerating. QA hasn’t kept up. Autonomous testing is inevitable, and we’re building it.

Five years from now, every high-velocity team will rely on AI agents like ours to ship faster, safer, and smarter.

Join now, and help make that future real, before someone else does.

Entry level

Full-time

Engineering and Information Technology

Technology, Information and Internet

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