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Software Engineer, Data Infrastructure

Adept AI

Adept AI

Software Engineering, Other Engineering
San Francisco, CA, USA
Posted 6+ months ago

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.

Responsibilities

  • 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

Qualifications

  • 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.