The Allen Institute for Artificial Intelligence

The Allen Institute for Artificial Intelligence

Research Scientist, Asta

Seattle, WA

Work authorization required$167k-$261kDetected 4 days ago
AlgorithmsMachine LearningDeep LearningNLPLLMsAgentic AIExcelRoboticsResearchCollaborationPublic Speaking

About the role

  • Persons in these roles are expected to work from our offices in Seattle.
  • If you have questions about on-site work arrangements for this role, please ask your recruiter.
  • Who You Are: You are a creative, hands-on AI researcher with a strong foundation in AI and reasoning.

Responsibilities

  • We develop foundational AI research and innovation to deliver real-world impact through large-scale open models, data, robotics, conservation, and beyond.
  • We value diversity - We seek to hire, support, and promote people from all genders, ethnicities, and all levels of experience regardless of age.
  • To perform this job successfully, the team member(s) will possess the skills, aptitudes, and abilities to perform each duty proficiently.
  • The requirements listed in this document are the minimum levels of knowledge,

Requirements

  • You are a creative, hands-on AI researcher with a strong foundation in AI and reasoning.
  • The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this position.
  • Must be able to remain in a stationary position for long periods of time.
  • Team members will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments.

Nice to have

  • Curiosity about all of the above is a plus.
  • Experience leading a team to solve analytical problems (a plus).
  • Contributions to open-source research libraries and an interest in continuing such work (a plus).

Skills

  • Contribute to Ai2's open source research environment to innovate, study and advance the science of generative AI and agentic systems.
  • Author and present high-quality scientific technical reports, papers, and presentations
  • Mentor early-career researchers and interns on their projects

Compensation

  • Team members will be able to receive annual bonuses and can participate in the long-term incentive plan.

Benefits

  • Team members will receive $125 per month to assist with commuting or internet expenses and will also receive $200 per month for fitness and wellbeing expenses.
  • Team members will also receive up to ten sick days per year, up to seven personal days per year, up to 20 vacation days per year and twelve paid holidays throughout the calendar year.
  • Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others.
  • Our base salary range is $167,030 - $260,570, and in addition we have generous bonus plans to provide a competitive compensation package.
  • While we value powerful research results which drive our mission forward, we also value dinner with family, weekend time, and vacation time.

Company info

  • We are a non-profit AI institute, focused on developing foundational AI research and innovation to deliver real-world impact through large-scale open models, the science of agentic systems, data, and artifacts (e.g., OpenScholar, OLMo, Tulu, and Scholar QA). We unite the best and brightest scientific and engineering minds to explore the potential of truly open AI. Through our efforts we endeavor to empower academics, researchers, and AI developers more broadly to advance language models and reasoning-based agentic systems. Through close collaboration, we rapidly identify, define, and act on the most exciting and promising new ideas in AI.
  • Our team is focused on developing Asta, an agentic system aimed at revolutionizing how science is performed. We engage in language model post-training, generating and curating data, layering control strategies (e.g., POMDPs) atop LLMs, and developing novel methodologies to push the field forward. We study and evaluate AI models both theoretically and empirically, aiming to advance their capabilities. Additionally, we create impactful real-world applications, such as in scientific synthesis. Our goal is to develop state-of-the-art models that excel in scientific reasoning spanning literature synthesis, hypothesis formation, scientific coding, execution of computational experiments, and data analysis. These systems will collaborate with human scientists, not replace them.
  • Your Next Challenge:
  • As a key member of the core team of research scientists and machine learning engineers at Ai2, you will drive the development of AI systems with deep reasoning capabilities with a focus on the huge breadth of skills necessary for scientific reasoning. In this role, you will lead foundational research to advance agentic systems, shape our strategic direction, and lay the groundwork for future innovations. You will also work towards long-term ambitious research goals, while identifying intermediate milestones.
  • We are a non-profit AI institute, focused on developing foundational AI research and innovation to deliver real-world impact through large-scale open models, the science of agentic systems, data, and artifacts (e.g., OpenScholar, OLMo, Tulu, and Scholar QA).
  • We unite the best and brightest scientific and engineering minds to explore the potential of truly open AI.
  • Through our efforts we endeavor to empower academics, researchers, and AI developers more broadly to advance language models and reasoning-based agentic systems.
  • Through close collaboration, we rapidly identify, define, and act on the most exciting and promising new ideas in AI.
  • Our team is focused on developing Asta, an agentic system aimed at revolutionizing how science is performed.
  • We engage in language model post-training, generating and curating data, layering control strategies (e.g., POMDPs) atop LLMs, and developing novel methodologies to push the field forward.
  • We study and evaluate AI models both theoretically and empirically, aiming to advance their capabilities.
  • Additionally, we create impactful real-world applications, such as in scientific synthesis.
  • Our goal is to develop state-of-the-art models that excel in scientific reasoning spanning literature synthesis, hypothesis formation, scientific coding, execution of computational experiments, and data analysis.
  • These systems will collaborate with human scientists, not replace them.

Visa & Work Authorization

  • This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer i
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This listing is sourced directly from The Allen Institute for Artificial Intelligence's careers page and normalized into a canonical job model.