What are the responsibilities and job description for the Software Engineer, Full Stack position at DatologyAI?
About the Company
Companies want to train their own large models on their own data. The current industry standard is to train on a random sample of your data, which is inefficient at best and actively harmful to model quality at worst. There is compelling research showing that smarter data selection can train better models faster-we know because we did much of this research. Given the high costs of training, this presents a huge market opportunity. We founded DatologyAI to translate this research into tools that enable enterprise customers to identify the right data on which to train, resulting in better models for cheaper. Our team has pioneered deep learning data research, built startups, and created tools for enterprise ML.
Following our $11.65M Seed round last September, we've raised a $46M Series A led by Felicis Ventures. Our investors include Radical Ventures, Amplify Partners, Microsoft, Amazon, and notable angels like Jeff Dean, Geoff Hinton, Yann LeCun and Elad Gil. With over $57.5M in total funding, we're rapidly scaling our team and computing resources to revolutionize data curation across modalities.
Join us in pushing the boundaries of what's possible in AI! Learn more about the company here.
About the Role
We are looking for our first seasoned Full-Stack 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 early senior hires, you will partner closely with our founders on the direction of our product and drive business-critical technical decisions.
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.
As a Full Stack Engineer at DatologyAI, you will be responsible for :
- Owning the full product development lifecycle for customer-facing data curation products as well as the new internal infrastructure and product experiences.
- Talking to customers and internal stakeholders to understand their problems and design solutions to address them.
- Collaborating with a cross-functional team of engineers, researchers, designers, etc to bring new features and research capabilities to our customers.
- Ensure our products and systems are reliable, secure, and worthy of our customers' trust.
This role is based in Redwood City, CA. We are in person 4 days a week and offer relocation assistance to new employees. We provide visa sponsorship for candidates selected for this role.
About You
Compensation and Benefits
At DatologyAI, we are dedicated to rewarding talent with highly competitive salary and significant equity. The salary for this position ranges from $150,000 to $250,000.
We also offer a comprehensive benefits package to support our employees' well-being and professional growth :
Salary : $150,000 - $250,000