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Machine Learning Scientist

lmarenaBay Area
Apply Now
lmarena logo

Machine Learning Scientist

lmarena

Apply Now

LMArena is seeking a Machine Learning Scientist to advance the evaluation and understanding of AI models through interdisciplinary collaboration. The role involves designing experiments, analyzing preference data, and developing new methodologies to improve model reliability and alignment. This position offers the opportunity to contribute to the scientific foundations of AI at scale, working closely with engineers and product teams.

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 modeling goals with user needs
  • Experience in authoring reports and publications for the ML research community

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
  • Collaborate with engineers to implement and scale research findings into production systems
  • Prototype and test research ideas rapidly, balancing rigor with iteration speed
  • Author internal reports and external publications that contribute to the broader ML research community
  • Partner with model providers to shape evaluation questions and support responsible model testing
  • Contribute to the scientific integrity and transparency of the LMArena leaderboard and tools

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