Machine Learning Scientist - Open Source Lead
Machine Learning Scientist - Open Source Lead
Machine Learning Scientist - Open Source Lead
lmarena
LMArena is seeking a Machine Learning Scientist to lead open-source research focused on AI model evaluation and transparency. The role involves designing experiments, developing methodologies, and collaborating with various teams to enhance the understanding of AI models. The position is full-time and can be performed remotely or in the SF Bay Area.
Qualification
- 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
- 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
Responsibility
- Design and conduct experiments to evaluate AI model behavior across reasoning, style, robustness, and user preference dimensions
- Develop new metrics, methodologies, and evaluation protocols that go beyond traditional benchmarks
- Analyze large-scale human voting and interaction data to uncover insights into model performance and user preferences
- Communicate results with the broader research community via academic papers, educational content, conference talks
- Collaborate with engineers to implement and productionize research insights
