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DatologyAI
San Mateo
Source: DatologyAI careers · View original posting
From DatologyAI's posting. “We” and “our” refer to the employer.
Models are what they eat. But a large portion of training compute is wasted training on data that are already learned, irrelevant, or even harmful, leading to worse models that cost more to train and deploy.
At DatologyAI, we’ve built a state of the art data curation suite to automatically curate and optimize petabytes of data to create the best possible training data for your models. Training on curated data can dramatically reduce training time and cost (
7-40x faster training depending on the use case), dramatically increase model performance as if you had trained on >10x more raw data without increasing the cost of training, and allow smaller models with fewer than half the parameters to outperform larger models despite using far less compute at inference time, substantially reducing the cost of deployment. For more details, check out our recent research on synthetic data scaling (
BeyondWeb
) and pretraining with domain-specific data (
The Finetuner’s Fallacy
).
We raised a total of $57.5M in two rounds, a Seed and Series A. Our investors include Felicis Ventures, Radical Ventures, Amplify Partners, Microsoft, Amazon, and AI visionaries like Geoff Hinton, Yann LeCun, Jeff Dean, and many others who deeply understand the importance and difficulty of identifying and optimizing the best possible training data for models.
Our team has pioneered this frontier research area and has the deep expertise on both data research and data engineering necessary to solve this incredibly challenging problem and make data curation easy for anyone who wants to train their own model on their own data.
This role is based in San Mateo, CA. We are in office 4 days a week.
You'll shape the way users experience our platform from the ground up.
Our users are ML engineers and researchers, and the workflows they run are long, expensive, and technically dense. Your job is to make those systems legible: designing the configuration surfaces, telemetry, and visualizations that let an engineer parameterize a curation pipeline, inspect its behavior at runtime, and evaluate the quality of the dataset it produces.
This role asks for high visual craft, and the ability to take a genuinely complex feature and define a design for it that feels obvious. You'll own the visual quality of what lands in production and partner closely with engineers to get it there. You'll work with leadership, engineering, research, and customers, with a rare opportunity to influence product direction at an early stage.
Technical workflows.
Front-end UI for setting up, launching, monitoring, and intervening in long-running curation and training jobs
Data visualization.
Making dataset composition, quality, and cost legible at a glance
Onboarding and integration.
Flows that get customers' data into the platform
Compensation
At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. The salary for this position ranges from $180,000 to $250,000.
Starting pay is based on job-related skills, experience, qualifications, and interview performance.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
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