What are the responsibilities and job description for the Software Engineer, Data Infrastructure 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 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.
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 the Role
We're looking for an experienced Data Platform 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 core product and data platform. These are key components of our stack that allow us to process customer data and apply state of the art research for identifying the most informative data points in large-scale datasets. You will have a broad impact over the technology, product, and our company's culture. We provide visa sponsorship for candidates selected for this role.
As a Data Infrastructure Engineer at Datology AI, you will be responsible for :
- Design, build and maintain highly scalable data processing solutions, while ensuring scalability, reliability, and security
- Architect, build, and deploy the back-end systems and services that power our data curation platform
- Partner with researchers and engineers to bring new features and research capabilities to our customers
- Ensure that our systems are reliable, secure, and worthy of our customers' trust
About You
There are a few specific things we'll be looking for that will help you succeed in this role :
You have built and managed highly scalable data processing solutions (e.g. Spark, Flink), data lakes or warehouses (e.g. Snowflake, Hive), authored queries (SQL), distributed storage systems (e.g., HDFS, S3), used workflow management (e.g. Airflow, Dagster), and have experience maintaining the infra that supports these.
We would love it if candidates have :
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 $180,000 to $250,000.
We also offer a comprehensive benefits package to support our employees' well-being and professional growth :
Salary : $180,000 - $250,000
