Research Engineer - Data

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About this role

Research Engineer - Data Menlo Park, California, United States About Periodic Labs The most important scientific discoveries of our time won't happen in a traditional lab. We're an AI and physical sciences company building state-of-the-art models to accelerate breakthroughs across materials, energy, and beyond. Backed by world-class investors and growing rapidly, we operate at the pace the frontier requires. Our team brings deep expertise, genuine ownership, and an insatiable drive to push the boundaries of what's scientifically possible. About the Role You will build and drive the data foundation for our research efforts. This means owning data strategy end-to-end: sourcing and procuring external datasets, integrating internally generated experimental data into the training stack, and ensuring the team always has the right data - in the right shape - to train and improve frontier models. This role sits at the intersection of data engineering, research infrastructure, and strategy. You will work closely with pretraining, midtraining, and RL researchers to understand what data the models need, then build the pipelines and systems to get it there. The work spans collecting and organizing diverse data sources, improving data quality through deduplication and preprocessing, and ensuring that new experimental results are incorporated in a structured, repeatable way that makes them useful for model development. What You'll Do - Own data strategy across the training stack - identifying gaps, evaluating new sources, and shaping the overall data roadmap in collaboration with research leads - Source, evaluate, and procure external datasets across scientific domains including chemistry,

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