What We’re Looking For

• Led or contributed to cutting-edge LLM research at top AI labs / globally leading tech startups
• Trained and fine-tuned LLMs on large-scale code, language, or multimodal datasets
• Deep understanding of transformer architectures, attention mechanisms, and model optimization
• Shipped ML systems in production, with real users and real uptime
• Built fast, production-level systems while maintaining strong practices around reproducibility, monitoring, and model performance
• You hold somewhat strong opinions about model safety, latency and helpfulness, but aren’t afraid to experiment

What You’ll Do In one sentence : Train, tune, and scale frontier LLMs that power lovable products.

• Own training pipelines for LLMs, from data curation to evaluation and deployment
• Fine-tune models on high-quality, domain-specific data (code, natural language, product usage signals)
• Work closely with product engineers to integrate models into real user-facing features
• Build retrieval pipelines, evaluation frameworks, and experimentation tools
• Push the limits of what’s possible with current/upcoming open models, and help define what we should train next

Our tech stack We're building with tools that both humans and AI love:

• Frontend: React for lightning-fast interfaces
• Backend: Golang and Rust for serious performance
• Cloud: Cloudflare, Fly.io, Google Cloud Run, AWS, Terraform
• DevOps & Tooling: CI/CD pipelines, observability, infra-as-code

And always on the lookout for what's next!

How We Hire

• Fill in a short form then jump on an initial exploratory call.
• Join us for a round of technical interviews
• Team intro calls with the team

About Your Application

• Please submit your application in English - it’s our company language so you’ll be speaking lots of it if you join
• We treat all candidates equally - if you’re interested please apply through our careers portal