The opportunity
Our team is organized around the north star goal of building an AI scientist – a system capable of solving the long term reasoning challenges and basic capabilities necessary to push the scientific frontier. Our team likes to think across the whole model stack.
What you'll do
Working across the full stack to identify and remove bottlenecks preventing progress toward scientific AGI
Develop approaches to address long-horizon task completion and complex: reasoning challenges essential for scientific discovery
Scaling research ideas from prototype to production
Create benchmarks and evaluation frameworks to measure model capabilities in: scientific workflows and computer use
Implement distributed training systems and performance optimizations to support large-scale model development
Have 8+ years of ML research experience
What they're looking for
- Are familiar with large scale language model training, evaluation, and inference pipelines
- Enjoy obsessively iterating on immediate blockers towards longterm goals
- Thrive working collaboratively to solve problems
- Have expertise in performance optimization and distributed computing systems
