Remote hybrid: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.
Compensation Range: $153,040 - $235,680Who We Are: Open Language Model (OLMo) is the Ai2 LLM framework designed to provide access to data, training code, models, and evaluation code necessary to advance AI through open research to empower academics and researchers to study the science of language models collectively.
Who You Are: 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 have a deep knowledge of Python, and a strong understanding of modern deep learning, natural language processing, and the inner workings of the transformer architecture. You can translate high-level goals into concrete research and implementation steps, set an approach, follow through, and present results.
You will be a part of the core team of research and machine learning engineers working on the infrastructure, architecture, modeling, and training of OLMo (Open Language Model). In this role, you will own the design and implementation of the code that trains the OLMo models.
Essential Functions: Building infrastructure to facilitate the next generation of LLM researchOptimizing training and inference for language modelsTriaging between experiments and executing on the most impactfulSupporting and collaborating with an open-source communityBridging the gap between cutting-edge research and a widely adopted productBringing software engineering best practices to a research environmentReleasing contributions back to the broader community in the form of open source software, model releases, and additions to Ai2's public API and Open Research CorpusWhat You'll Need: Expertise in building ML infrastructure with 4+ years of industry experienceDeep experience in the complete model development cycleKnowledge of modern deep learning and natural language processing techniquesStrong software engineering skillsExperience with Python and PyTorch/Jax/TensorflowFamiliarity with cloud compute resources (e.g., AWS) and containerization (e.g., Docker)Strong collaboration and communication skillsAdvanced degree in relevant fields or equivalent experienceContributions to open-source ML or research librariesExperience operating models at scale in a production settingExperience in HPC settingsEducation: BS or MS in Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative fieldPhysical Demands and Work Environment: Must be able to remain in a stationary position for long periods of time.The ability to communicate information and ideas so others will understand.The ability to observe details at close range.A Little More About Ai2: The Allen Institute for Artificial Intelligence is a non-profit research institute in Seattle founded by Paul Allen. The core mission of Ai2 is to contribute to humanity through high-impact research in artificial intelligence.
Ai2 is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender, gender identity, gender expression, transgender status, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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