About the role
TL;DR - We’re looking for a hands-on research and engineering leader to get the best performance out of commercial and open source frontier models, in order to power the future of AI software engineering. You’ll own experiments end-to-end—from dataset design to model alignment and performance optimization. Must be curious, experimental, and obsessed with squeezing the most out of models.ae
What we’re looking for
Led or contributed to cutting-edge LLM research at top AI labs
Fine-tuned large-scale transformer models on datasets including code, natural language, and multimodal inputs`
Developed state-of-the-art models for code generation
Designed high-quality experiments and have strong sense for effective evaluation
A natural leader obsessed with building the best technical team in the world
Mentored team of researchers / engineers, and led collaborative projects across research, engineering, and product teams
Bonus: Published at top ML/AI conferences on LLMs, code intelligence, or agentic reasoning
What you’ll do
In one sentence: Build the most powerful ensemble of LLMs into lovable products.
Design and execute experiments grounded in real coding and product use cases
Define, track and optimize product-centric LLM performance metrics
Partner with engineering leads to hire and hone a world-class team
Own training pipelines, distillation workflows, and synthetic data generation systems
Work closely with infra and product engineers to scale and ship model improvements
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, Google Cloud Run, AWS, Terraform
DevOps & Tooling: CI/CD pipelines, observability, infra-as-code
And always on the lookout for what's next!