Position Summary

Adept is building our own large-scale models to support our mission of creating useful general intelligence. In this role, you’ll work directly on our fundamental research challenges, advancing the state of the art in model and agent capabilities. The ideal candidate is someone who has produced and implemented machine learning research of substantial practical importance. This job involves designing and running large-scale experiments on complicated infrastructure, so strong experimental intuition and programming skills are also necessary.

Responsibilities:

• Work in a team setting to understand the behavior and limitations of our current models

• Develop, implement, and test ideas for significantly improving those models

• Drive the downstream implementation of these improvements all the way to deployment, with an eye toward user-perceptible performance improvements

Qualifications:

• Excellent quantitative intuition and problem solving skills

• Experience driving long-term, ambiguous research projects to completion - ideally with significant practical impact

• Excellent communication and collaboration skills, with the ability to work effectively with other researchers and the infrastructure and product teams

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.

#LI-DNI

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.