Careers at U.S. Artificial Intelligence Inc.

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U.S. Artificial Intelligence Inc. is a startup located in the Bay Area. We make Abbey, a platform for learning and professional development. The goal of Abbey is to provide a deep level of customized learning, on-demand.

Helping people learn high-value content faster and better will make entrepreneurship more common, allow companies to expand faster, and help America rebuild its industrial base.

Is this scene from Dune (2021) inspiring to you? Would you, too, like to effortlessly book-up on any topic – whether it be spice mining, or interplanetary politics? If so, then join us, because it's what we're building.

Job Openings

Title
Location
Cash
Software Engineer - Full Stack
Bay Area, CA
$115-250k
Graphics and Frontend Designer
Bay Area, CA
$115-215k
Business Development
Bay Area, CA
$100-175k
General Application
Bay Area, CA
$100-250k

Apply via this form.

FAQs

Q
Do I get equity?
A
Yes, we're an early stage startup. It will vary by your position and experience. For outstanding hires, the package could be exceptional.
Q
What will I be doing?
A
For technical hires, you will be doing good-old-fashioned software engineering: scaling our web app, building out products for new platforms, optimizing the backend, creatively improving the user experience, etc. For non-technical hires, you could be building a sales and marketing department, performing market research, communicating customer needs to engineers, designing our brand, improving our corporate strategy, or doing other important work as it arises. This is a startup – there is no part of the business you won't touch. We will ensure your projects match your skill and expertise.
Q
In-person or remote?
A
We're currently searching for office space in the Bay Area and hope everyone will be in-person at that time. If you're brought on in time, you can have a say on where we'll be!
Q
Can I have some leadership role, like CTO?
A
Yes, if you're qualified and dedicated enough. We're an early-stage startup – as the company grows, you will be asked to oversee new people.
Q
I do ML. Will I be training models?
A
We would like to train or finetune some auxiliary models to perform certain tasks in our pipeline. These models could include embedding models, classifiers, natural-to-structured language decoders, and so on. For the larger models, we rely on third-party APIs to provide our users with (unequivocally) the best performance available.
Q
What tech do you use?
A
Python, MySQL, Next.js, AWS for deployment, PHP (internally). We value tools that are well-documented, widely known, and fast enough. You can help by expanding this list.