Turn model capabilities into real product behavior.
Own problems end-to-end, from shaping model behavior, to building the systems around it, to ensuring it performs reliably in production.
Debug issues across the full stack (model, orchestration, infra, UX)
Optimize for latency, cost, and production reliability
Work closely with product and engineering to translate ambiguous problems into working systems
Requirements
Strong foundation in machine learning and modern neural network architectures.
Hands-on experience with training, fine-tuning, or deploying ML models
Ability to write clean, production-quality code
Comfort working across abstraction layers (model → infra → product)
Strong problem-solving skills in ambiguous, fast-moving environments
Bias toward shipping, iteration, and continuous improvement
Benefits
The best products today in the world were built by small, world class teams.
We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.