Work at a Portfolio Company

Software Engineer, Data Infrastructure

Adept AI

Adept AI

Software Engineering, Other Engineering
San Francisco, CA, USA
Posted on Sunday, June 9, 2024

Position Summary

Adept is building our own large-scale models to support our mission of creating useful general intelligence. Building these large-scale models requires performant data infrastructure to create and store the datasets used in all of our training runs. This job will involve building systems in-house, and utilizing cloud providers’ technology to create reliable data infrastructure.


  • Design & build performant infrastructure to manage and leverage large-scale datasets for our model training

  • Scale data acquisition systems to improve their throughput and reliability

  • Balance system performance with infrastructure costs to optimize for company value

  • Partner with engineers and research scientists to facilitate progress for both research and product development


  • 5+ years of experience as a software engineer

  • Expertise managing infrastructure storing petabytes of data for machine learning applications

  • Experience in leveraging Spark and other tools to build large-scale datasets

  • A high level of end-to-end ownership and self-direction

  • The ability to move fast and learn by doing new things

The pay range for this position in California is $175,000- $350,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.

Our benefits

  • Medical, dental, and vision insurance - 100% covered

  • Unlimited vacation time for exempt employees

  • 4 remote weeks per year - work from anywhere

  • Competitive salary & stock options

  • 24 weeks paid parental leave

  • Monthly wellness stipend

  • Daily meals for those in our comfortable SF office

  • Commuter benefits

  • Dog friendly office

Adept is an equal opportunity employer. We're excited about candidates who will raise the bar of our team, regardless of specific experiences -- we encourage applicants from a range of backgrounds to apply.