United States onlyLMArena is seeking a Machine Learning Scientist to lead open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open.
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 research with user needs.
- Comfortable being a visible representative of LMArena, engaging openly with the research community, and building a strong personal brand to help shape AI research culture.
Benefits
- Competitive compensation and equity
- Comprehensive health and wellness benefits
- The opportunity to work on cutting-edge AI with a small, mission-driven team
- A culture that values transparency, trust, and community impact
