Software Engineer, Infrastructure
About The Role
We're looking for an experienced Infrastructure Engineer to join as a member of our core Datology AI team. As one of our early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions. You will lead the development of our data infrastructure capabilities, including multi-cloud support and support for various deployment models, as well as training and inference infrastructure. You will have a broad impact on the technology, product, and our company's culture.
About The Company
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).
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 $300,000. Starting pay is based on job-related skills, experience, qualifications, and interview performance. Our benefits are built to support your well-being and growth: 100% covered health benefits (medical, vision, and dental). 401(k) plan with a generous 4% company match. Unlimited PTO policy. Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility. Annual $2,000 wellness stipend. Annual $1,000 learning and development stipend. Daily lunches and snacks are provided in our office! Relocation assistance for employees moving to the Bay Area.