LMArena

Machine Learning Engineer

• Lead open-source ML research including open data set and code releases to advance AI model evaluation in the open.
• Design, run, and share new methods and experiments revealing what makes models useful, trustworthy, and capable, grounded in human preference signals and released openly for the ecosystem and research community to build upon.
• Take commitment to openness from principle to practice; curate high-impact datasets; develop new methodology and reproducible benchmarks; release code enabling the research ecosystem to push AI evaluations forward.
• Shape the public leaderboard, power community tools, and strengthen transparency in AI evaluation worldwide.
• Work interdisciplinary with engineers, product teams, marketing, and the broader research community to advance how we compare models, analyze preference data, and understand factors like style, reasoning, and robustness.
• Collaborate with GTM teams as spokesperson for outreach for our open research efforts: strengthening partnerships, expanding research community participation, and championing programs that grow and support our research network.
• If you’re excited by open-ended questions, rigorous evaluation, and scientific communication and outreach, you’ll find a meaningful home here.

Machine Learning Scientist - Open Source Lead