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 Redwood City, CA. We are in office 4 days a week.
About the RoleWe 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. As one of our key hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions.
What You'll Work OnYou 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.
4+ years of relevant experience
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.
Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done.
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).
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.
Benefits:
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.
Skills Required
- Experience with full-stack and backend experiences
- Proficiency in JavaScript/TypeScript, React, and Python
- Experience maintaining a high-quality bar for design, correctness, and testing
- Prior experience in ML/AI
What We Do
DatologyAI builds tools to automatically select the best data on which to train deep learning models. Our tools leverage cutting-edge research—much of which we perform ourselves—to identify redundant, noisy, or otherwise harmful data points. The algorithms that power our tools are modality-agnostic—they’re not limited to text or images—and don’t require labels, making them ideal for realizing the next generation of large deep learning models. Our products allow customers in nearly any vertical to train better models for cheaper.
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