Front-End Software Engineering

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).

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.

We are in office 4 days a week.

About the Role We are looking for Front-end engineers who love building new products in an iterative and fast-moving environment. In this role, you will build software from the ground up to solve critical bottlenecks for DatologyAI customers and internally. What You'll Work On You will contribute to developing the core product that customers use for curating their datasets and the visualizations around it, as well as the internal tooling that our team uses daily to develop the core product. You will have a broad impact on the technology, product, and our company's culture.

Own the full front-end development lifecycle for customer-facing data curation products, from design through implementation, as well as new internal tooling interfaces.

Talk to customers and internal stakeholders to understand their problems and design solutions to address them.

Collaborate with a cross-functional team of engineers, researchers, designers, etc to bring new features and research capabilities to our customers.

Ensure that our products and systems are reliable, secure, and worthy of our customers' trust.

Have meaningful experience with leading and building production front-end systems that deliver on major product initiatives

Proficiency in JavaScript/TypeScript, React, other web technologies, and Python.

Care deeply about quality, functionality, and the humans we’re communicating to by sweating the details, down to the last page request.

Experience maintaining a high-quality bar for design, correctness, and testing.

Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed

Have prior experience in ML/AI (preferred but not required).

Compensation At DatologyAI, we are dedicated to rewarding talent with competitive salary and meaningful equity. Starting pay is based on job-related skills, experience, qualifications, and interview performance.

Benefits 100% covered health benefits (medical, vision, and dental).

Unlimited PTO policy

Paid Parental Leave of 12 weeks, plus 6 months of WFH flexibility.

Daily lunches and snacks are provided in our office!

Relocation assistance for employees moving to the Bay Area.

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