Multimodal Dataset Engineer (Contract)
San Francisco /
Core ML Team /
Join us to build and safely deploy aligned, superhuman AI. For decades, technology was "just a tool" - could it be a colleague?
We are building an AI pair programmer that feels like a full colleague inside your computer - capable, conversational, and reliable across domains. If this isn't AGI, then what is? Join us if you want to build and safely deploy aligned AGI in products that matter.
As a Dataset Engineer, you’ll work on building internet-scale multimodal datasets such as petabyte-scale internet crawls, audio and video data, as well as small high-quality datasets.
- Integrity. Words and actions should be aligned.
- Hands-on. Most of us have previously led engineering teams. At Magic, there are no managers. We all spend the vast majority of our time on engineering. If you want to solve hard problems, Magic is the right place for you.
- Teamwork. We move as one team, not N individuals.
- Focus. Ethically deploy AGI. Everything else is noise.
- Quality. We have high standards for ourselves and our products. Magic should feel like magic.
Benefits and perks
- In-person (SF) or remote
- A small, fast-paced, highly focused team
- Competitive compensation
Magic is a public benefit corporation dedicated to building and safely deploying aligned, superhuman AGI.
What's your motivation?
Automation has led humanity from subsistence farming to becoming a globally connected society. AGI is the ultimate chapter of the story of human tool-building, presenting the potential to decouple productivity and ingenuity from human labor. What if the last 50 years of technological progress happened in 2 days? We want to make this a possibility.
We've recently raised $28M.
How do we balance deploying the technology today with ambitions for AGI?
We think deploying AI within the right interfaces is just as important as the technology itself. Building an AI pair programmer helps us do both at the same time. We aim to launch gradually improving AI assistants while pursuing work on what will ultimately become AGI.
Do you train your own models?
Do you care about the product?
It's funny that this is an FAQ, but many AI companies neglect UX and focus only on their model. Yes, we care.
Can I work from anywhere?
We welcome applications from anyone around the world. We'll look at visa requirements case by case.
I don't meet all the criteria, should I still apply?
If you feel you have something to contribute to the mission and you're a high-energy person, absolutely. We make exceptions for exceptional people. In all hires, we are looking for either 1) difference makers on world class teams or 2) individuals who would become this very quickly if placed on such a team tomorrow.