Key skills
AIMachine LearningML
About this role
Role Overview
- 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.