Adept is building a machine learning model that can interact with everything on your computer. We are solving open problems in AI in order to train a neural network that knows how to use every piece of software we use in our lives – all in service of building our product, a natural language interface to your computer. If we succeed, Adept will enable your computer to do anything that we can put into words.
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 a preview of the capabilities coming out of Adept, check out our ACT-1 demo from last September!
We’re hiring engineers on our team across several different roles. If you want to build large, greenfield software projects geared toward accomplishing ambitious goals, and have a willingness to learn, we’d love to hear from you.
Team fit will be determined through the interview process, so check out some more about the different teams!
Tool Use team
We're looking for Software Engineers to help us teach neural networks to use tools. What does that mean? An example tool might be a Calendar API - the neural network might automatically add and modify calendar appointments given natural language instructions from a user. Just doing that one thing right would be hard, but we want a general system that works with every available software tool. This is an ambitious goal, and it requires building substantial new software from scratch - this is where you come in! Learn more about the Tool Use team here.
Product Team
As a product engineer you'll work collaboratively with a PM and a designer to understand user workflows and requirements and how to translate that into our product. You'll also work closely with researchers to optimize user latency along with providing a great user experience. This person will also build the infra and integrations to serve the model to lots of users that use multiple tools.
Data Team
This team is responsible for building data pipelines for new types of data to facilitate novel use cases for the model. This team is working to improve the performance, reliability, and biases of the most important data pipelines. You'll investigate product usage and run ML or product experiments to evaluate changes to datasets.
General Software Engineering Skills You'll Need to Bring:
Relevant experience with designing and building software systems either as a full-stack engineer or back-end engineer
Preferred if you have previously worked with building and serving machine learning models
Expertise in building scalable web applications and optimizing them to reduce latency and increase throughput
High standard of execution speed; “no job is too small” attitude to get things done
Excellent communication and presentation skills
You're willing and able to quickly learn how to do new things that nobody on the team has done before
The pay range for this position in California is $200,000- $225,000yr; 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.
Our benefits
Comprehensive health insurance coverage - 100% for employees
Dental and vision insurance
Unlimited vacation time for exempt employees
4 remote weeks per year - work from anywhere
Competitive salary
Stock options
Daily meals for those in our comfortable SF office
Commuter benefits
Dog friendly
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.