Future CTO / Technical Co-Founder (Startups)

Seattle, WA

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Dream of building an AI-first company from the ground up with other savvy startup co-founders?

Our CTO Residency program is designed to help entrepreneurial AI scientists and engineers prepare to become a founding member of an early-stage AI startup. Hosted in the rapidly growing AI2 startup incubator (incubator.allenai.org), residents of this program collaborate with entrepreneurs and mentors to validate startup ideas and build minimal viable products with a focus on innovative applications of machine learning and AI. Residents will gain valuable experience across all phases of entrepreneurship, from selecting the right market segments, to building initial customer traction, scaling out a team, raising money, and more.

At the AI2 Incubator, we build AI-first startups.

We pair CTO Residents with successful entrepreneurs (CEOs). We then help these new teams come up with ideas, define their product, incorporate the latest A.I. techniques into their technology, engage pilot customers, and raise millions of dollars in seed funding. Along the way, we make two investments: Right at the beginning, to give cofounders breathing room to find an idea, and again when a team is ready to start ramping their traction story. The process takes 12-18 months—to go from ideas on a whiteboard to a multimillion dollar seed round. And as your co-founder, we are with you every step of the way. 

A proven track record.

We have incubated numerous startups (including XNOR.ai, WellSaidLabs.com, and more)—that collectively have raised $28M in funding, are valued at $115M, employ over 100+ people, and we've already had one acquisition (Baidu bought KITT.ai). Moreover, our research institute has grown to a team of 120+ A.I. PhDs, researchers, engineers, and support staff—with 1,200+ collective years of engineering and A.I. research experience—who have published 227 published papers (with nine best paper awards) while at AI2.

About you:

Ideal candidates come from the following backgrounds:

  • AI scientists with advanced degrees and publications in areas such as deep learning, natural language processing, computer vision, and speech.
  • Machine learning and data science practitioners with a strong interest in product and engineering.
  • Stellar engineers with a strong interest in building AI and AI-enabled products from the ground up.

While AI2 is an equal opportunity employer, AI2 is particularly interested in a diverse applicant pool.

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