Senior Research Engineer, Olmo + Molmo
Position Summary & Responsibilities
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 $174,240 - $261,360, and in addition we have generous bonus plans to provide a competitive compensation package.
Who You Are:
To thrive as a Research Engineer at Ai2, you'll bring a blend of deep technical expertise and a collaborative, self-directed mindset. You have extensive experience with deep learning and/or foundation models — whether through a PhD in ML or equivalent hands-on industry work. You're a curious, agile engineer who can generate ideas, design experiments, and implement them in Python against real AI systems. You communicate research insights clearly to technical stakeholders, and you're energized by working with strong contributors toward shared, ambitious goals.
As a Research Engineer on the team, you'll be a core member responsible for training Ai2's flagship open models (e.g. Olmo, Molmo, and beyond). From system design to experiment release, you'll own end-to-end delivery while collaborating closely with research and engineering colleagues to push the boundaries of open model research.
Who We Are:
We are a non-profit AI institute focused on developing foundational AI research and innovation to deliver real-world positive impact through large-scale open models, data, and artifacts (e.g., Olmo, Tulu, Molmo, FlexOlmo). Balancing academic freedom with corporate-level scale (read about our new compute cluster here), Ai2 is uniquely resourced and positioned to deliver high-impact, truly open research. Our team unites the best and brightest scientific and engineering minds to explore the potential of truly open AI. Through our efforts, including the pioneering Olmo and Molmo releases, we endeavor to empower academics, researchers, and AI developers more broadly to advance the science of language models, multimodal models, and generative AI.
If you are passionate about advancing the science of AI through open, rigorous researc
Key Role Competencies & Evaluation Highlights
Deep scientific rigor coupled with collaborative, multidisciplinary open-science alignment and large-scale data stewardship.
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