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Research Scientist, Ecosystem

Job in Seattle, King County, Washington, 98127, USA
Listing for: The Allen Institute for Artificial Intelligence
Full Time position
Listed on 2026-05-26
Job specializations:
  • Research/Development
    Research Scientist, Data Scientist, Artificial Intelligence
Salary/Wage Range or Industry Benchmark: 167030 - 260570 USD Yearly USD 167030.00 260570.00 YEAR
Job Description & How to Apply Below
Position: Research Scientist, Open Ecosystem

Persons in these roles are expected to work from our offices in Seattle. On‑site requirements vary based on position and team. If you have questions about on‑site work arrangements for this role, please ask your recruiter.

Our base salary range is $167,030 – $260,570 and in addition we have generous bonus plans to provide a competitive compensation package.

Who We Are

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, data, and artifacts (e.g., Olmo, Tulu, Molmo). We unite the best and brightest scientific and engineering minds to explore the potential of truly open AI.

Through our efforts, including the pioneering Olmo releases, we endeavor to empower academics, researchers, and AI developers to advance language models and generative AI. Our team engages in a broad range of AI research, including pre‑training and post‑training language models, curating data to enhance AI across modalities, and developing novel methodologies to push the field forward. We study and evaluate AI models both theoretically and empirically, aiming to advance their capabilities, and create impactful real‑world applications such as in scientific synthesis.

Our goal is to develop state‑of‑the‑art models that excel in scientific discovery, reasoning, and factual recall.

Who You Are

You are a creative, hands‑on AI researcher with a strong foundation in AI and natural language processing. Passionate about pushing the boundaries of research and engineering, you seek to advance AI and language models both scientifically and openly. You thrive in collaborative environments, take initiative, and are eager to contribute to AI2's impact‑driven mission in a dynamic, fast‑paced research setting. Skilled at translating complex concepts into concrete research goals and implementation steps, you define clear approaches, execute effectively, and communicate results with clarity.

You leverage these skills to create real‑world benefits for researchers and practitioners alike and are excited to help drive the development of the best‑performing open AI model.

What You Need
  • A PhD focusing on natural language processing, machine learning, or a related area, with expertise in one or more of the following: language models, reinforcement learning, experimental methodology, the science of deep learning, or efficient algorithms for deep learning. Curiosity about all of the above is a plus.
  • The ability to own and pursue a research agenda to improve AI models.
  • Enthusiasm for collaboration and teamwork on ambitious projects aligned with company goals.
  • 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).
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 Olmo (Open Language Models) and related frameworks. In this role, you will lead foundational research to advance generative AI, 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.

Essential

Functions
  • Contribute to AI2's open‑source research environment to innovate, study and advance the science of generative AI.
  • 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.
Physical Demands and Work Environment

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. Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

  • Must be able to…
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