We are dedicated to being the go-to data layer used to build AGI. The future of intelligence won’t be defined by compute alone—it will be shaped by the quality and richness of the data these systems learn from.
At sumo, we believe data is the most under-invested and under-appreciated driver of AI progress. We give AI teams access to data that can’t be scraped from the open web and that makes the difference between incremental improvement and breakthrough capability.
At Sumo, the Machine Learning Researcher bridges the gap between our data assets and our customers’ needs. You’ll ensure our datasets are well-matched to the AI models our customers are building and well-understood by those customers. This role requires strong statistical and ML expertise, deep curiosity about large-scale data, and the ability to collaborate directly with customers and partners.
You’ll also help shape how the world’s most advanced AI models are trained, aligned, and evaluated—working on highly practical problems at the intersection of research and deployment. From designing model-in-the-loop data pipelines, to evaluating frontier LLMs, to prototyping new methods for data-centric training, you’ll play a key role in pushing the boundaries of what’s possible.