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.