Adept's mission is to build Useful General Intelligence. We are solving open problems in AI in order to train models that can do arbitrary things on a computer, and we are solving open product problems in order to package these models into a form factor that best enhances human experience and performance.
We’ve recently raised a $350M Series B led by General Catalyst and Spark, on top of a $65M Series A in 2022 with Addition and Greylock. We’re fortunate to be supported by amazing firms and angels such as Chris Re, Andrej Karpathy, Root Ventures, Howie Liu, Dara Khosrowshahi, and others, and were recently highlighted by Forbes. Adept is backed by a coalition of strategic partners, including Atlassian, Microsoft, NVIDIA, and Workday.
We're looking for passionate team members who want to swing for the fences to accomplish our mission, are excited by a startup environment where the hardest problems are yet to be solved, and are eager to learn and collaborate together in our San Francisco office.
For more information, check out our blog!
We’re seeking members for a new team that will own the data program for our foundation models. In this role you’ll work in a hybrid research-engineering group that (among other things) brainstorms unusual data-sources, builds out infrastructure, and runs experiments to discover new ways of using and processing training data.
The ideal candidate is someone who has a strong understanding of computer systems, a good intuition for the scientific method, and comfort with operating under uncertainty. Given the central importance of data to modern machine learning techniques, this role is critical to the company.
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. In addition to base salary, we also offer competitive equity and benefits packages.
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