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Software Engineer, Full Stack
4 months ago
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 compute 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.
Position
We are looking for 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 Software Engineer - Full Stack at DatologyAI, you will be responsible for:
- Own the full product development lifecycle for customer-facing data curation products as well as the new internal infrastructure and product experiences
- 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
Your qualification
There are a few specific things we'll be looking for that will help you succeed in this role
- Have meaningful experience with leading and building production backend and/or full-stack experiences that deliver on major product initiatives
- Proficiency in Python, JavaScript/TypeScript, React, and other web technologies
- 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 prior experience in ML/AI (preferred but not required)
- Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed
- Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done
What we offer
At DatologyAI, we are dedicated to ensuring pay fairness and maintaining highly competitive market rates. We also offer a comprehensive benefits package to support our employees' well-being and professional growth:
- Comprehensive health, dental, and vision insurance for you and your dependents
- 401(k) plan with a generous 4% company match
- Unlimited paid time off (PTO) policy – we encourage employees to take a minimum of 2 weeks per year to rest and recharge
- Annual $2,000 wellness stipend to support your physical and mental well-being
- Annual $1,000 learning and development stipend to foster continuous growth and skill acquisition
- Daily lunches and snacks are provided in our office
- Relocation assistance for employees moving to the Bay Area to help ease the transition
