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Research Scientist, AllenNLP

Job in Seattle, King County, Washington, 98127, USA
Listing for: Allen Institute for AI (AI2)
Full Time position
Listed on 2025-12-24
Job specializations:
  • Research/Development
    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
Persons in these roles are expected to spend part of their time on-site in our Seattle offices and may occasionally work remotely from their home in the Greater Seattle area. On-site requirements vary based on position and team. If you have questions about Hybrid work arrangements for this role, please ask your recruiter.Ourbase 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 more broadly to advance language models and generative AI models.

Through close collaboration, we rapidly identify, define, and act on the most exciting and promising new ideas in 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 different 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. 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 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).

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.

The essential functions include, but are not limited to the following:

  • 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…

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