We are seeking a Research Scientist to help advance how we evaluate and understand AI models. You will design and analyze experiments, develop new methods for comparing models, and work closely with engineers and product teams to develop new tools.
Requirements
- Hands-on experience training large-scale models, including reward models, preference models, and fine-tuning LLMs with methods like RLHF, DPO, and contrastive learning.
- Strong foundation in ML and statistics, with a track record of designing novel training objectives, evaluation schemes, or statistical frameworks to improve model reliability and alignment.
- Fluent in the full experimental stack, from dataset design and large-batch training to rigorous evaluation and ablation, with an eye for what scales to production.
- Deeply collaborative mindset, working closely with engineers to productionize research insights and iterating with product teams to align modeling goals with user needs.
Benefits
- Competitive salary
- Meaningful equity
- Comprehensive healthcare coverage (medical, dental, vision)