The opportunity
At Scale , our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact.
What you'll do
Measure the dangerous capabilities of frontier models and conduct preparedness research
Research the science and creation of new benchmarks for frontier models
Develop new methods for training models to excel on extremely difficult: reasoning problems that require long chains of thought
Research reinforcement learning and post-training methods that improve model reliability on high-stakes tasks
Research scalable oversight protocols that enable humans to produce and: quality control reasoning chains beyond their native capabilities
Study the boundaries of model generalization and capabilities to inform data-driven advancements
What they're looking for
- Research synthetic and hybrid data with humans in the loop to scale up high-quality data generation
- Take models currently in production, identify areas for improvement, improve: them using retraining and hyperparameter searches, then deploy without regressing on core model characteristics
- Create post-training or agentic solutions that integrate into our ability to: deliver applications for enterprise and public sector clients
- Currently enrolled in a BS, MS or PhD program with a focus on Machine: Learning, Deep Learning, or Natural Language Processing, with a graduation date in Fall 2027 or Spring 2028
