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Machine Learning Scientist - Open Source Lead

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Arena Intelligence, Inc.

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Location:
United States , Bay Area

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

LMArena is looking for a Machine Learning Scientist to lead our open-source research, including open data set and code releases, advancing how the world evaluates and understands AI models in the open. You’ll design, run, and share new methods and experiments that reveal what makes models useful, trustworthy, and capable, grounded in human preference signals and released openly for the full ecosystem and research community to build upon.

Job 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 scale research findings into production systems
  • Prototype and test research ideas rapidly, balancing rigor with iteration speed
  • 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

Requirements:

  • PhD or equivalent research experience in Machine Learning, Natural Language Processing, Statistics, or a related field
  • Strong understanding of LLMs and modern deep learning architectures (e.g., Transformers, diffusion models, reinforcement learning with human feedback)
  • Proficiency in Python and ML research libraries such as PyTorch, JAX, or TensorFlow
  • Demonstrated ability to design and analyze experiments with statistical rigor
  • Experience publishing research or working on open-source projects in ML, NLP, or AI evaluation
  • Comfortable working with real-world usage data and designing metrics beyond standard benchmarks
  • Ability to translate research questions into practical systems and collaborate across engineering and product teams
  • Passion for open science, reproducibility, and community-driven research

Nice to have:

  • Skilled at public speaking, writing, and presenting research work to diverse audiences
  • Actively participates in conferences, panels, and online forums to foster relationships and thought leadership
  • Builds trust through transparent communication and consistent community engagement
  • Serves as a go-to contact for external researchers, journalists, and partners
What we offer:
  • Comprehensive health and wellness benefits, including medical, dental, vision, and additional support programs
  • The opportunity to work on cutting-edge AI with a small, mission-driven team
  • A culture that values transparency, trust, and community impact
  • Competitive compensation and equity aligned to the markets where our team members are based

Additional Information:

Job Posted:
February 20, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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