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Research Scientist, Agents for Science

167k – 261kSeattle, WAAI ResearchOnsite
Summary

Leads foundational research on agentic AI systems for scientific reasoning, including literature synthesis, hypothesis formation, coding, experiments, and data analysis. Requires PhD in ML/NLP/reasoning with expertise in language models or reinforcement learning.

About the role

Responsibilities

  • Contribute to Ai2's open source research environment to innovate, study and advance the science of generative AI and agentic systems.
  • Take a leading role in building artifacts and implementing software systems with real-world impact.
  • Author and present high-quality scientific technical reports, papers, and presentations.
  • Collaborate with and learn from team members across Ai2, including scientists and engineers.
  • Mentor early-career researchers and interns on their projects.
  • Develop collaborative relationships with relevant academic, industrial, government, and standards organizations.

Requirements

  • PhD focusing on machine learning, reasoning, natural language processing, or a related area, with expertise in one or more of: reinforcement learning, experimental methodology, language models, the science of deep learning, or efficient algorithms for deep learning.
  • Ability to own and pursue a research agenda to improve AI model reasoning capabilities.
  • Enthusiasm for collaboration and teamwork on ambitious projects aligned with company goals.

Nice-to-Haves

  • Experience leading a team to solve analytical problems.
  • Contributions to open-source research libraries and an interest in continuing such work.

Compensation

Base salary range: $167,030 - $260,570, plus generous bonus plans.

Skills
Machine LearningReinforcement LearningNatural Language ProcessingLanguage ModelsDeep LearningAgentic SystemsGenerative AIPOMDPsScientific ReasoningOpen Source
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