The Allen Institute for Artificial Intelligence

The Allen Institute for Artificial Intelligence

Research Engineer, FlexOlmo

Seattle, WA

Work authorization required$129k-$193kDetected 5 days ago
PythonAWSDockerMachine LearningDeep LearningTensorFlowPyTorchData ScienceNLPLLMsStatisticsRoboticsResearchCommunicationCollaboration

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.

Responsibilities

  • Building infrastructure to facilitate the next generation of LLM research.
  • 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.

Requirements

  • You are a talented, hands-on engineer who thrives in a fast-paced environment, is self-directed, a team player, and knows how to get things done.
  • You can translate high-level goals into concrete research and implementation steps, set an approach, follow through, and present results.
  • A bachelor's degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP, or a related field, or equivalent relevant experience, and expertise at building ML infrastructure.
  • 4+ years of experience building infrastructure that handles data preprocessing/transformation and model training, evaluation, inference, and deployment.
  • Experience in the complete model development cycle, including data set construction, training, tuning, evaluation, performance profiling, and monitoring.

Nice to have

  • Advanced degree in Data Science/CS/EE/Applied Mathematics/Statistics/ML/NLP or related fields and/or relevant and equivalent engineering experience.
  • Contributions to open-source ML or research libraries (e.g. spaCy, AllenNLP, transformers).
  • Experience successfully operating models at scale in a production setting.
  • Experience in HPC settings.
  • Curiosity about AI research.
  • 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.
  • Must be able to remain in a stationary position for long periods of time.

Compensation

  • Our base salary range is $128,880 - $193,320, and in addition we have generous bonus plans to provide a competitive compensation package.

Benefits

  • Our base salary range is $128,880 - $193,320, 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, data, and artifacts (e.g., OLMo, Tulu, Asta, OlmoEarth). 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 generative AI models. Through close collaboration, we rapidly identify, define, and act on the most exciting and promising new ideas in AI.
  • The FlexOlmo team designs new architectures and training methods that help models use data more effectively-through improved training, inference-time conditioning, and retrieval-broadening the types of data they can leverage and ultimately enhancing performance. We also develop scientific methodologies for evaluating and understanding these systems. Our team produces high-impact research and expertly engineered open-source tools that accelerate NLP research worldwide. Our first release in July 2025 focused on a new Mixture-of-Experts architecture. Looking ahead, we plan to pursue creative, groundbreaking research that delivers scientific insights and practical solutions for building architectures and training methods that unlock the use of large and diverse data sources.
  • Your Next Challenge:
  • You will be a part of the core team of research engineers working on the infrastructure, architecture, modeling and training of the next generation of architectures of foundation models, with a focus on continual learning. In this role you will be owning the design and implementation of the systems that train these models. You will be responsible for building scalable machine learning pipelines as we push the boundaries of large language modeling research. You will be collaborating with colleagues inside and outside your own team, but you are responsible for a feature or experiment from start to finish, from conception to implementation.
  • 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, Asta, OlmoEarth).
  • 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 generative AI models.
  • Through close collaboration, we rapidly identify, define, and act on the most exciting and promising new ideas in AI.
  • The FlexOlmo team designs new architectures and training methods that help models use data more effectively-through improved training, inference-time conditioning, and retrieval-broadening the types of data they can leverage and ultimately enhancing performance.
  • We also develop scientific methodologies for evaluating and understanding these systems.
  • Our team produces high-impact research and expertly engineered open-source tools that accelerate NLP research worldwide.
  • Our first release in July 2025 focused on a new Mixture-of-Experts architecture.
  • Looking ahead, we plan to pursue creative, groundbreaking research that delivers scientific insights and practical solutions for building architectures and training methods that unlock the use of large and diverse data sources.
  • You will be a part of the core team of research engineers working on the infrastructure, architecture, modeling and training of the next generation of architectures of foundation models, with a focus on continual learning.

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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