Software Engineer, Infrastructure
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. For more details, check out our recent blog posts sharing our high-level results for text models and image-text models.
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.
This role is based in Redwood City, CA. We are in office 4 days a week.
About the Role
We're looking for an experienced Infrastructure 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 data infrastructure capabilities, including multi-cloud support and support for various deployment models, as well as training and inference infrastructure. You will have a broad impact on the technology, product, and our company's culture.
What You'll Work On
Design and build the development and production platforms that power our products, enabling reliability and security at scale
Architect, build, and deploy our core infrastructure while supporting multiple cloud providers and various deployment models
Accelerate company productivity by empowering your fellow engineers & teammates with excellent tooling and systems, providing a best-in-case experience
Partner with researchers and engineers to bring new features and research capabilities to our customers
About You
Have meaningful experience in spearheading and constructing large-scale infrastructure
Proficiency in bash, Kubernetes, Python, and/or Terraform or similar technologies
Have experience working with AWS, other cloud platforms such as Azure or GCP and/or on-prem environments
Have expertise in debugging problems across the stack, such as networking issues, performance problems, hardware issues or memory leaks
Take pride in building and operating scalable, reliable, secure systems
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
We would love it if you had:
Built out data infrastructure from, or nearly from, scratch at a fast-growing startup.
Experience building ML/DL infrastructure and/or data infrastructure that feeds into training large ML models
Compensation
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.
The candidate's starting pay will be determined based on job-related skills, experience, qualifications, and interview performance.
Benefits
We offer a comprehensive benefits package to support our employees' well-being and professional growth:
100% covered health benefits (medical, vision, and dental).
401(k) plan with a generous 4% company match.
Unlimited paid time off (PTO) policy.
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.
Average salary estimate
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Are you a seasoned Infrastructure Engineer looking to make a significant impact in the AI space? At DatologyAI, based in the vibrant Redwood City, we are on a mission to revolutionize how enterprises train their AI models. We believe that smart data selection is key to better model performance, and as we scale our operations with over $57.5M in funding, we need talented individuals like you! In this role, you'll partner closely with our founders, guiding the technical direction of our innovative product. Your expertise will help us design and build robust multi-cloud infrastructure, support various deployment models, and enhance our training and inference capabilities. You'll play a crucial role in architecting and deploying our core systems, ensuring they are reliable, secure, and functional. Moreover, you'll empower your teammates by providing excellent tooling and systems that elevate productivity. If you’re someone who thrives in dynamic environments and takes pride in constructing large-scale infrastructure, we want you on our team. At DatologyAI, not only will you work on cutting-edge technology, but you’ll also enjoy a competitive salary of $180,000 to $250,000 along with a full benefits package that includes 100% covered health benefits, generous PTO, and numerous stipends to support your wellness and development. Join us in shaping the future of AI data curation!
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 a...
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